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Quality related fault detection based on dynamic-inner convolutional autoencoder and partial least squares and its application to ironmaking process 认领 引用 被引量：1
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作者 Ping Wu Yuxuan Ni +4 位作者 Huaimin Wang Xuguang Hu Zhenquan Wu Jian Jiang Yaowu Hu 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第1期267-276,共10页
Partial least squares (PLS) model maximizes the covariance between process variables and quality variables,making it widely used in quality-related fault detection.However,traditional PLS methods focus primarily on li... Partial least squares (PLS) model maximizes the covariance between process variables and quality variables,making it widely used in quality-related fault detection.However,traditional PLS methods focus primarily on linear processes,leading to poor performance in dynamic nonlinear processes.In this paper,a novel quality-related fault detection method,named DiCAE-PLS,is developed by combining dynamic-inner convolutional autoencoder with PLS.In the proposed DiCAE-PLS method,latent features are first extracted through dynamic-inner convolutional autoencoder (DiCAE) to capture process dynamics and nonlinearity from process variables.Then,a PLS model is established to build the relationship between the extracted latent features and the final product quality.To detect quality-related faults,Hotelling's T2 statistic is employed.The developed quality-related fault detection is applied to the widely used industrial benchmark of the Tennessee. 展开更多
关键词 Partial least squares Dynamic-inner convolutional autoencoder Quality-related fault detection Neural networks Safety Dynamic modeling
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Enhancement of the Total Least Squares Method for Feature Extraction in 2D LiDAR Mapped Environments 认领 引用
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作者 Natalia Prieto-Fernández Martín Bayón-Gutiérrez +3 位作者 Sergio Fernández-Blanco álvaro Fernández-Blanco Francisco Carro-De-Lorenzo JoséAlberto Benítez-Andrades 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期1043-1059,共17页
Feature-based Simultaneous Localization and Mapping(SLAM)using 2D Light Detection and Ranging(LiDAR)in structured indoor environments commonly relies on the extraction of straight segments and corners from raw scan da... Feature-based Simultaneous Localization and Mapping(SLAM)using 2D Light Detection and Ranging(LiDAR)in structured indoor environments commonly relies on the extraction of straight segments and corners from raw scan data.The quality of these landmarks depends not only on the fitting algorithm,but also on how uncertainty is modeled and propagated from line estimates to derived corner features.Although the magnitude of LiDAR uncertainty has been widely studied,the influence of line parameterization and geometric conditioning on uncertainty propagation has received less attention.In particular,the scale ambiguity inherent to implicit line representations can degrade numerical conditioning and affect the stability of the propagated covariance estimates.This paper proposes a novel Weighted Conformal Total Least Squares(WCTLS)formulation for line extraction from 2D LiDAR data.Unlike conventional approaches,the proposed method enforces a geometrical normalization that removes scale ambiguity and improves the conditioning of the estimation problem.The method is compared with Unweighted Total Least Squares(UTLS)and Weighted Total Least Squares(WTLS)using real indoor datasets and repeated scans acquired from fixed sensor positions.The results show that all three formulations provide equivalent geometric corner locations,whereas the proposed WCTLS method consistently reduces the propagated uncertainty of the estimated corner coordinates.In addition,repeatability analysis over l0o scans per environment shows that WCTLS yields lower median corner ellipse areas and reduced dispersion across scans,without increasing computational complexity. 展开更多
关键词 Feature extraction geometric primitives light detection and ranging(LiDAR)mapping total least squares(TLS)
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Practical Exploration and Teaching Optimization of Perimeter Calculation for Rectangles and Squares in Life Situations 认领 引用
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作者 DIAN Lulu 《外文科技期刊数据库（文摘版）教育科学》 2026年第1期040-044,共5页
Perimeter calculation for rectangles and squares is a core knowledge point in the "Graphics and Geometry" section of primary school mathematics, and also a key teaching content to help students establish mea... Perimeter calculation for rectangles and squares is a core knowledge point in the "Graphics and Geometry" section of primary school mathematics, and also a key teaching content to help students establish measurement awareness and develop spatial concepts. Primary school students are still dominated by concrete thinking, and it is difficult for them to deeply internalize abstract mathematical concepts and calculation formulas only through classroom lectures. Traditional classroom teaching tends to fall into the misunderstanding of "emphasizing calculation over understanding, emphasizing practice over application", leading to problems such as students mechanically applying formulas, shallow conceptual understanding, and rigid practical application. Based on the concept of life-oriented teaching and following the cognitive development rules of students, this paper carries out teaching practice of perimeter calculation relying on real life scenarios, deeply analyzes the pain points and deficiencies in current classrooms, and puts forward specific optimization paths from the dimensions of situation creation, hands-on operation, application migration and literacy cultivation. It breaks the barrier between mathematics classroom and real life, helps students complete the thinking advancement from intuitive perception to abstract modeling, consolidates the foundation of geometry learning, improves classroom teaching effectiveness, and effectively cultivates students' core mathematical literacy. 展开更多
关键词 life situation rectangle and square perimeter calculation teaching practice teaching optimization
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Prediction of total nitrogen in water based on UV spectroscopy and Bayesian optimized least squares support vector machine 认领 引用 被引量：1
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作者 ZHENG Peichao YANG Qin +3 位作者 LI Chenglin YIN Xukun WANG Jinmei GUO Lianbo 《Optoelectronics Letters》 EI 2025年第11期698-704,共7页
The total nitrogen(TN)is a major factor contributing to eutrophication and is a crucial parameter in assessing surface water quality.Accurate and rapid methods are crucial for determining the TN content in water.Herei... The total nitrogen(TN)is a major factor contributing to eutrophication and is a crucial parameter in assessing surface water quality.Accurate and rapid methods are crucial for determining the TN content in water.Herein,a fast,highly sensitive,and pollution-free approach is proposed,which combines ultraviolet(UV)absorption spectroscopy with Bayesian optimized least squares support vector machine(LSSVM)for detecting TN content in water.Water samples collected from sampling points near the Yangtze River basin in Chongqing of China were analyzed using national standard methods to measure TN content as reference values.The prediction of TN content in water was achieved by integrating the UV absorption spectra of water samples with LSSVM.To make the model quickly and accurately select the optimal parameters to improve the accuracy of the prediction model,the Bayesian optimization(BO)algorithm was used to optimize the parameters of the LSSVM.Results show that the prediction model performs well in predicting TN concentration,with a high coefficient of prediction determination(R2=0.9413)and a low root mean square error of prediction(RMSE=0.0779 mg/L).Comparative analysis with previous studies indicates that the model used in this paper achieves lower prediction errors and superior predictive performance. 展开更多
关键词 Bayesian optimization eutrophication total nitrogen tn bayesian optimized least squares support vector machine lssvm least squares support vector machine assessing surface water water quality total nitrogen
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Flow control of a surface-mounted finite-length square cylinder using synthetic jets 认领 引用
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作者 Shiqing Li Meihua Xia +3 位作者 Shuxuan Cai Yan Han Peng Hu Lingwei Zeng 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第3期489-503,共15页
This paper studied the effect of synthetic jets on active flow control around a finite-length square cylinder using the large eddy simulation method.Based on the oncoming flow velocity(U∞)and the model width d,the... This paper studied the effect of synthetic jets on active flow control around a finite-length square cylinder using the large eddy simulation method.Based on the oncoming flow velocity(U∞)and the model width d,the corresponding Reynolds number is 2.78×104.We explored the impact of the momentum coefficient(Cμ)and the dimensionless jet frequency(f*)on a finite-length square cylinder’s aerodynamic forces and flow field characteristics.The square cylinder has an aspect ratio of 5,with one end mounted on a wall and the other end free.The synthetic jet outlet is deployed at the windward leading edge of the square cylinder.It is found that synthetic jets positioned at the top can effectively suppress the cylinder’s aerodynamic forces.Both the momentum coefficient and dimensionless jet frequency influence the control effectiveness.The maximum reductions in total mean drag coefficients(Cd,mean)and fluctuating lift coefficient(Cl,rms)are 4.01%and 50.7%,respectively.With synthetic jet control,the shear flow at the free end of the square cylinder is significantly suppressed,the separation bubble on the top surface disappears,the shear layer at the free end approaches the top surface of the square cylinder,and the turbulent kinetic energy near the free end is significantly enhanced.This study may offer valuable guidance for related engineering applications. 展开更多
关键词 Square cylinder Active flow control Synthetic jet LES
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Investigation on the penetration resistance of aluminum plates against high-speed square projectiles using a new physical damage model 认领 引用
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作者 Yi Shen Jianqiao Li +2 位作者 Lanhao Shen Linmiao Zhao Tianbao Ma 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第6期226-253,共28页
The penetration resistance of aluminum plates against square projectiles has emerged as a critical research focus in impact engineering.In our study,experimental analyses were conducted using a ballistic gun system.Nu... The penetration resistance of aluminum plates against square projectiles has emerged as a critical research focus in impact engineering.In our study,experimental analyses were conducted using a ballistic gun system.Numerical simulations were performed using an advanced physical damage model incorporating dynamic void evolution.Our new model exhibited excellent prediction performances in ballistic limit velocity(the maximum error is 7.74%)and residual velocity(the lowest R-value is 0.8803).The effects of width-thickness ratio for square projectile,plate thickness,and material properties on ballistic performance were evaluated.The results revealed that localized shear plugging was the dominant failure mode in aluminum plates penetrated by square projectiles.Increasing the square projectile velocity led to a change in fracture morphology from square to circular,accompanied by a marked expansion of the penetration area.Comparative studies highlighted the high prediction accuracy in ballistic limit velocity of our proposed model compared to traditional phenomenological models(the maximum error is 14.99%)and physical models(the maximum error is 65.99%).Parametric investigations using our validated model examined the influence of projectile characteristics on penetration performance.Among projectiles with the same mass,cubic projectile exhibited the optimal penetration performances,while spherical projectile was the worst.Moreover,the penetration performance between square and cylindrical projectiles was solely determined by their contact area with the plate,and was independent of their cross-sectional shape.Our model provided an effective new method for analyzing penetration mechanisms.Our findings provided significant insights for damage assessment of warheads and the design of protective structures. 展开更多
关键词 Damage model Aluminum plate Square projectile Ballistic limit velocity
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Temperature-compensated fiber Bragg grating pressure sensor utilizing square diaphragm-based stress transfer structure 认领 引用
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作者 Qinggeng Fan Dequan Feng +1 位作者 Zhen’an Jia Muguang Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期438-445,共8页
A fiber Bragg grating(FBG)pressure sensor using square diaphragm,dowel bar,and constant-strength cantilever beam(CSCB)as the stress transfer structure is proposed in this paper.The measurement principle involving pres... A fiber Bragg grating(FBG)pressure sensor using square diaphragm,dowel bar,and constant-strength cantilever beam(CSCB)as the stress transfer structure is proposed in this paper.The measurement principle involving pressure to strain transduction is described.Comparative finite element simulations of two diaphragms show square diaphragm's superior pressure responsivity,demonstrating a central deflection approximately 30% greater than that of the circular diaphragm.The performance of this design over the range of 0 to 2 MPa is experimentally evaluated,achieving a pressure sensitivity of 273.72 pm/MPa,excellent coefficient of determination(R2)of 0.9992,0.688% full scale(FS)hysteresis,and 3.368%FS repeatability errors.Furthermore,the utilization of difference in central wavelength shifts between dual Bragg gratings enables effective temperature compensation,resulting in a relative error of 2%.The cost-effective sensor can be adopted for the pressure measurement of gases or liquids within pipelines. 展开更多
关键词 pressure sensor fiber Bragg grating(FBG) square diaphragm temperature compensation
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一种基于Least Square Method算法的城轨车辆车门动作时间精准判断的研究 认领 引用
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作者 李宏菱 《西安轨道交通职业教育研究》 2026年第2期1-4,16,共4页
为研究城市轨道交通车辆客室车门动作时间精准性,门的动作主要依靠直流无刷电机的驱动,所以门动作判断的根本,是对电机运动状态的判读,门运动过程中由于电机码盘线受杂波干扰,系统无法准确寻找计时点从而影响系统判断门运动时间;建立波... 为研究城市轨道交通车辆客室车门动作时间精准性,门的动作主要依靠直流无刷电机的驱动,所以门动作判断的根本,是对电机运动状态的判读,门运动过程中由于电机码盘线受杂波干扰,系统无法准确寻找计时点从而影响系统判断门运动时间;建立波形矫正模型,利用数学方法校准波形,让MCU找出最佳计时点并处理(误差不超过10ms),采用最小二乘法模型,通过最小化误差的平方和找到一组数据的最佳函数匹配,求得未知的数据,并使得这些求得的数据与实际数据之间误差的平方和为最小,可精准地得到门动作时间。模拟测试结果表明,门动作时间测算误差所示其误差为7.42ms,小于10ms。 展开更多
关键词 城轨车辆 客室车门 电机码盘 Least Square Method算法 门动作时间精准
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Study of the nuclear mass model by sequential least squares programming 认领 引用
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作者 Hang Yang Cun-Yu Chen +2 位作者 Xiao-Yu Xu Han-Kui Wang You-Bao Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第7期204-212,共9页
Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squ... Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squares programming(SLSQP)algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV.These algorithms were further examined using 200 sample mass formulae derived from theδE term of the Eisospin mass model.The SLSQP method exhibited superior performance compared to the other algorithms in terms of errors and convergence speed.This algorithm is advantageous for handling large-scale multiparameter optimization tasks in nuclear physics. 展开更多
关键词 Nuclear mass model Binding energy Magic nuclei Sequential least squares algorithm
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Non-negative least squares variance component estimation of mixed additive and multiplicative random error model 认领 引用
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作者 Hao Xiao Leyang Wang 《Geodesy and Geodynamics》 EI CSCD 2025年第5期617-623,共7页
In the variance component estimation(VCE)of geodetic data,the problem of negative VCE is likely to occur.In the ordinary additive error model,there have been related studies to solve the problem of negative variance c... In the variance component estimation(VCE)of geodetic data,the problem of negative VCE is likely to occur.In the ordinary additive error model,there have been related studies to solve the problem of negative variance components.However,there is still no related research in the mixed additive and multiplicative random error model(MAMREM).Based on the MAMREM,this paper applies the nonnegative least squares variance component estimation(NNLS-VCE)algorithm to this model.The correlation formula and iterative algorithm of NNLS-VCE for MAMREM are derived.The problem of negative variance in VCE for MAMREM is solved.This paper uses the digital simulation example and the Digital Terrain Mode(DTM)to prove the proposed algorithm's validity.The experimental results demonstrated that the proposed algorithm can effectively correct the VCE in MAMREM when there is a negative VCE. 展开更多
关键词 Mixed additive and multiplicative random error model Stochastic model Non-negative least squares variance component estimation
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ARPES study of Y2O2Bi single crystals:Intrinsic electronic structure of Bi square nets 认领 引用
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作者 Yun-Bo Wu Tong-Rui Li +15 位作者 Zhi-Peng Cao Zhan-Feng Liu Yu-Liang Li Zheng-Ming Shang Xin Zheng Hui Tian Zong-Yi Wang Yu-Tong Bi Hao-Yang Zhou Yi Liu Guo-Bin Zhang Zheng-Tai Liu Da-Wei Shen Li-Dong Zhang Sheng-Tao Cui Zhe Sun 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期563-570,共8页
The Bi square net,a structural motif in a diverse array of layered compounds,has emerged as a desirable system for investigating the interplay between strong spin-orbit coupling,reduced dimensionality,and magnetism.We... The Bi square net,a structural motif in a diverse array of layered compounds,has emerged as a desirable system for investigating the interplay between strong spin-orbit coupling,reduced dimensionality,and magnetism.We present a comprehensive study of Y2O2Bi single crystals using high-resolution angle-resolved photoemission spectroscopy(ARPES)and density functional theory(DFT)calculations to elucidate the intrinsic electronic structure of the Bi square net.Our findings reveal a pronounced two-dimensional character of the electronic states,with the Bi square net dominating the low-energy electronic structure.While Y2O2Bi itself exhibits no topological features,DFT calculations on related Bi square net compounds reveal that the surrounding crystal environment can induce non-trivial topology,as exemplified by the topological insulator LiBi.This comparative study establishes a crucial benchmark for understanding Bi square net physics and informs the design of future Bi square net-based quantum materials. 展开更多
关键词 two-dimensional materials electronic structure Bi square net spin-orbit coupling
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Prediction of turbulent flow over a single square cylinder using generative artificial intelligence 认领 引用
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作者 Ngoc Thi Huynh Anh Thu Thi Phan +2 位作者 Tan Tai Trieu Ho Hong Duy Nguyen Thanh Nhan Nguyen 《Water Science and Engineering》 EI CAS CSCD 2026年第1期35-46,共12页
Turbulent flow around bluff bodies like square cylinders involves complex vortex shedding and flow separation,challenging traditional computational methods.This study developed a novel approach using a generative arti... Turbulent flow around bluff bodies like square cylinders involves complex vortex shedding and flow separation,challenging traditional computational methods.This study developed a novel approach using a generative artificial intelligence(GenAI)model to predict turbulent flow over a single square cylinder.The GenAI model was trained using high-fidelity simulation data generated from an advanced differentiable physics framework(PhiFlow),which can efficiently capture the nonlinear dynamics of turbulent flow.Flow predictions from the GenAI model were validated against numerical results,demonstrating high accuracy in capturing key flow characteristics,including vortex shedding frequency.Stability and spatial—temporal frequency analyses revealed strong agreement between the diffusion model and numerical simulations.This study highlights the potential of GenAI models to significantly enhance the prediction and analysis of turbulent flow,offering a powerful tool for fluid dynamics research and engineering applications. 展开更多
关键词 Turbulent flow GenAI model Square cylinder Numerical simulation PhiFlow
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Electrochemical oscillatory behaviour of manganese ions and its square wave modulation 认领 引用
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作者 Jiaxing Li Chunbiao Li +5 位作者 Jie Yang Zhihao Wu Qian Zhang Guocan Zheng Zuohua Liu Changyuan Tao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第1期277-292,共16页
In manganese electrolysis,electrochemical oscillations and manganese dendrite growth are typical nonlinear phenomena critical for energy consumption reduction.Nonetheless,existing research lacks a deep understanding o... In manganese electrolysis,electrochemical oscillations and manganese dendrite growth are typical nonlinear phenomena critical for energy consumption reduction.Nonetheless,existing research lacks a deep understanding of their underlying mechanisms.In this study,we systematically explored the evolution of anode electrochemical oscillations during manganese electrolysis and designed a square wave circuit to effectively suppress oscillations and dendrite growth while reducing energy consumption.A novel four-dimensional differential equation was introduced to explore the internal dynamic mechanisms of typical nonlinear behaviors.The experimental results showed that while the evolutionary patterns of current and potential oscillation signals were consistent,their waveform directions were opposite.The square wave current effectively suppressed both electrochemical oscillations and the growth of manganese dendrites.Furthermore,compared to direct current electrolysis,the square wave current improved the current efficiency by 3.6%and reduced the energy consumption by 0.32 kW·h·kg−1. 展开更多
关键词 Manganese electrolysis Electrochemical oscillation Square wave circuit Energy reduction
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Bisquare算法下Bragg光栅波长温度线性标定 认领 引用
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作者 何昊 郭天太 金骥 《现代电子技术》 北大核心 2026年第14期123-126,134,共4页
在使用光谱分析仪解调光纤Bragg光栅(FBG)中心波长的过程中,受仪器自身精度及环境等因素影响,波长解调准确度不足。为解决该问题,提出使用Bisquare算法优化原有最小二乘法(OLS)模型。该算法依据每组中心波长的残差大小分配相应权重,并... 在使用光谱分析仪解调光纤Bragg光栅(FBG)中心波长的过程中,受仪器自身精度及环境等因素影响,波长解调准确度不足。为解决该问题,提出使用Bisquare算法优化原有最小二乘法(OLS)模型。该算法依据每组中心波长的残差大小分配相应权重,并通过设定容差控制拟合过程的迭代次数,优化光纤光栅温度-中心波长的线性标定模型。实验结果表明,基于Bisquare算法标定模型的温度灵敏度相对误差为1.5%,相较于传统OLS模型提高了3.8%,对于光谱分析法所获取的波长数据具有更强的适应性和精确性。 展开更多
关键词 光纤Bragg光栅 光谱分析 线性标定 Bisquare算法 光纤光栅测温 最小二乘法(OLS)
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Dialogue Between Tradition and Modernity:Understanding the Positioning and Cultural Connotations of the“Bronze Square Seal-Incense Burner”Through Liu Liangyou’s Incense Studies 认领 引用
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作者 HUANG Yun LIN Hai-tao 《Journal of Literature and Art Studies》 2026年第2期136-141,共6页
This paper takes the theoretical framework of Liu Liangyou,a pivotal figure in the contemporary revival of Chinese incense studies(Xiangxue),as its starting point.Combined with the historical context of Qing Dynasty b... This paper takes the theoretical framework of Liu Liangyou,a pivotal figure in the contemporary revival of Chinese incense studies(Xiangxue),as its starting point.Combined with the historical context of Qing Dynasty bronze ware manufacturing,it conducts a multi-dimensional investigation and analysis of the“Xiangzhuan Tong Sifang Lu”(Bronze Square Seal-Incense Burner).The core issue is to explore how this traditional bronze square burner should be understood and positioned within the modern incense ceremony(Xiangxi)system advocated by Liu Liangyou,which centers on the appreciation of incense fragrance(Pinxiang).The study finds that due to its material and form,the bronze square burner is explicitly excluded from Liu’s strictly defined incense appreciation system,where ceramic burners are the standard.However,when placed within the broader genealogy of incense culture,this artifact can be re-accommodated as an excellent vessel for“seal incense”(Zhuanxiang),a display burner within the“Three Incense Utensils”(Lu Ping San Shi)set,and a multifaceted cultural symbol.This paper argues that Liu Liangyou’s incense studies and the tradition represented by the bronze square burner are not opposed but rather complementary,representing a relationship between“specializationefinement”and“diversification”.Through this specific case study,this research aims to reflect on the“value reconstruction”process that traditional artifacts undergo during modern cultural revivals,advocating for a transmission path that respects in-depth standardization while embracing historical complexity. 展开更多
关键词 Liu Liangyou Xiangxue(Incense Studies) Xiangzhuan(Seal Incense) Bronze Square Incense Burner artifact positioning cultural revival
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Near-infrared spectra combined with partial least squares for pH determination of toothpaste of different brands 认领 引用 被引量：6
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作者 Yong Nian Ni Wei Lin 《Chinese Chemical Letters》 SCIE CAS CSCD 2011年第12期1473-1476,共4页
Near-infrared spectroscopy（NIR）,which is generally used for online monitoring of the food analysis and production process, was applied to determine the internal quality of toothpaste samples.It is acknowledged that ... Near-infrared spectroscopy（NIR）,which is generally used for online monitoring of the food analysis and production process, was applied to determine the internal quality of toothpaste samples.It is acknowledged that the spectra can be significantly influenced by non-linearities introduced by light scatter,therefore,four data preprocessing methods,including off-set correction, 1st-derivative,standard normal variate（SNV） and multiplicative scatter correction（MSC）,were employed before the date analysis. The multivariate calibration model of partial least squares（PLS） was established and then was used to predict the pH values of the toothpaste samples of different brand.The results showed that the spectral date processed by MSC was the best one for predicting the pH value of the toothpaste samples. 展开更多
关键词 Toothpaste NIR spectroscopy Partial least squares Preprocessing pH value
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A Novel Method for Flatness Pattern Recognition via Least Squares Support Vector Regression 认领 引用 被引量：13
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作者 ZHANG Xiu-ling ZHANG Shao-yu +1 位作者 TAN Guang-zhong ZHAO Wen-bao 《Journal of Iron and Steel Research International》 SCIE CAS CSCD 2012年第3期25-30,共6页
To adapt to the new requirement of the developing flatness control theory and technology,cubic patterns were introduced on the basis of the traditional linear,quadratic and quartic flatness basic patterns.Linear,quadr... To adapt to the new requirement of the developing flatness control theory and technology,cubic patterns were introduced on the basis of the traditional linear,quadratic and quartic flatness basic patterns.Linear,quadratic,cubic and quartic Legendre orthogonal polynomials were adopted to express the flatness basic patterns.In order to over-come the defects live in the existent recognition methods based on fuzzy,neural network and support vector regres-sion(SVR)theory,a novel flatness pattern recognition method based on least squares support vector regression(LS-SVR)was proposed.On this basis,for the purpose of determining the hyper-parameters of LS-SVR effectively and enhan-cing the recognition accuracy and generalization performance of the model,particle swarm optimization algorithm with leave-one-out(LOO)error as fitness function was adopted.To overcome the disadvantage of high computational complexity of naive cross-validation algorithm,a novel fast cross-validation algorithm was introduced to calculate the LOO error of LDSVR.Results of experiments on flatness data calculated by theory and a 900HC cold-rolling mill practically measured flatness signals demonstrate that the proposed approach can distinguish the types and define the magnitudes of the flatness defects effectively with high accuracy,high speed and strong generalization ability. 展开更多
关键词 flatness pattern recognition least squares support vector regression cross-validation
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On-Line Batch Process Monitoring Using Multiway Kernel Partial Least Squares 认领 引用 被引量：3
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作者 胡益 马贺贺 侍洪波 《Journal of Donghua University(English Edition)》 EI CAS 2011年第6期585-590,共6页
An approach for batch processes monitoring and fault detection based on multiway kernel partial least squares(MKPLS) was presented.It is known that conventional batch process monitoring methods,such as multiway partia... An approach for batch processes monitoring and fault detection based on multiway kernel partial least squares(MKPLS) was presented.It is known that conventional batch process monitoring methods,such as multiway partial least squares(MPLS),are not suitable due to their intrinsic linearity when the variations are nonlinear.To address this issue,kernel partial least squares(KPLS) was used to capture the nonlinear relationship between the latent structures and predictive variables.In addition,KPLS requires only linear algebra and does not involve any nonlinear optimization.In this paper,the application of KPLS was extended to on-line monitoring of batch processes.The proposed batch monitoring method was applied to a simulation benchmark of fed-batch penicillin fermentation process.And the results demonstrate the superior monitoring performance of MKPLS in comparison to MPLS monitoring. 展开更多
关键词 process monitoring fault detection kernel partial least squares(KPLS) nonlinear process multiway kernel partial least squares(MKPLS)
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Discrimination of Transgenic Rice Based on Near Infrared Reflectance Spectroscopy and Partial Least Squares Regression Discriminant Analysis 认领 引用 被引量：7
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作者 ZHANG Long WANG Shan-shan +2 位作者 DING Yan-fei PAN Jia-rong ZHU Cheng 《Rice science》 SCIE CSCD 2015年第5期245-249,共5页
Near infrared reflectance spectroscopy （NIRS）, a non-destructive measurement technique, was combined with partial least squares regression discrimiant analysis （PLS-DA） to discriminate the transgenic （TCTP and mi... Near infrared reflectance spectroscopy （NIRS）, a non-destructive measurement technique, was combined with partial least squares regression discrimiant analysis （PLS-DA） to discriminate the transgenic （TCTP and mi166） and wild type （Zhonghua 11） rice. Furthermore, rice lines transformed with protein gene （OsTCTP） and regulation gene （Osmi166） were also discriminated by the NIRS method. The performances of PLS-DA in spectral ranges of 4 000-8 000 cm-1 and 4 000-10 000 cm-1 were compared to obtain the optimal spectral range. As a result, the transgenic and wild type rice were distinguished from each other in the range of 4 000-10 000 cm-1, and the correct classification rate was 100.0% in the validation test. The transgenic rice TCTP and mi166 were also distinguished from each other in the range of 4 000-10 000 cm-1, and the correct classification rate was also 100.0%. In conclusion, NIRS combined with PLS-DA can be used for the discrimination of transgenic rice. 展开更多
关键词 near infrared reflectance spectroscopy genetically-modified food regulation gene protein gene partial least squares regression discrimiant analysis
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LEAST SQUARES ESTIMATION FOR ORNSTEIN-UHLENBECK PROCESSES DRIVEN BY THE WEIGHTED FRACTIONAL BROWNIAN MOTION 认领 引用 被引量：4
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作者 申广君 尹修伟 闫理坦 《Acta Mathematica Scientia》 SCIE CSCD 2016年第2期394-408,共15页
In this article, we study a least squares estimator （LSE） of θ for the Ornstein- Uhlenbeck process X0=0,dXt=θXtdt＋dBt^ab, t ≥ 0 driven by weighted fractional Brownian motion B^a,b with parameters a, b. We obtain... In this article, we study a least squares estimator （LSE） of θ for the Ornstein- Uhlenbeck process X0=0,dXt=θXtdt＋dBt^ab, t ≥ 0 driven by weighted fractional Brownian motion B^a,b with parameters a, b. We obtain the consistency and the asymptotic distribution of the LSE based on the observation {Xs, s∈[0,t]} as t tends to infinity. 展开更多
关键词 Weighted fractional Brownian motion least squares estimator Ornstein-Uhl-enbeck process
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