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Physics-informed neural network for material identification via distortion-robust polychromatic x-ray attenuation correction in photon-counting detectors 认领 引用
1
作者 Xin Yan Jie Zhang +5 位作者 Kai He Yiheng Liu Yuetong Zhao Gang Wang Xinlong Chang Youwei Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期396-405,共10页
Spectral distortions in photon-counting detectors(PCDs)fundamentally limit the quantitative accuracy of material identification.While machine learning is used for compensation,current data-driven methods often lack ph... Spectral distortions in photon-counting detectors(PCDs)fundamentally limit the quantitative accuracy of material identification.While machine learning is used for compensation,current data-driven methods often lack physical constraints,limiting their interpretability and reliability across varying conditions.To address this issue,we propose a physics-informed neural network(PINN)framework that explicitly embeds the Beer-Lambert law into the learning architecture.By integrating an explicit differential layer to extract high-order curvature features from distorted spectra,the model enables direct inference of the effective atomic number and areal density.This approach effectively leverages the Z-dependent non-linear profile of the photoelectric effect,even when explicit absorption edges are outside the primary detection window.Simulation results establish a high-precision benchmark for Zeffestimation in the target low-Z range(613),with an RMSE of 0.2111.Experimental validation on a CdZnTe-PCD further demonstrates that this accuracy improvement is preserved under realistic pulse pile-up and noise conditions,achieving an RMSE of 0.2457 and an R2of 0.9670.Compared with conventional physical correction methods(typically±0.5 error margin),the proposed framework provides improved precision,with 92.86%of Zeffestimation errors falling within±0.4,corresponding to an approximately 20%tighter error bound.These results confirm that the proposed framework effectively mitigates spectral distortion,providing a robust,calibration-free solution for precise material identification of low-Z materials in industrial non-destructive testing. 展开更多
关键词 physics-informed neural networks (PINNs) photon-counting detectors (PCDs) material identification x-ray imaging
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PDCS安全管理模式研究与应用 认领 引用 被引量：6
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作者 李昊 郝均卫 李文昌 《中国安全科学学报》 CAS CSCD 北大核心 2022年第2期22-27,共6页
为提高煤矿安全管理水平和隐患治理能力,首先,提出一种防范、控制、执行、整顿(PCDS)安全管理模式,并根据该理论模式,创建冀中能源“8341+”安全管理体系;其次,利用大数据和云计算技术,开发安全管理体系云+边信息化平台,该平台可实现信... 为提高煤矿安全管理水平和隐患治理能力,首先,提出一种防范、控制、执行、整顿(PCDS)安全管理模式,并根据该理论模式,创建冀中能源“8341+”安全管理体系;其次,利用大数据和云计算技术,开发安全管理体系云+边信息化平台,该平台可实现信息共享和快速处理,实现智能化判断与控制;最后,以冀中能源集团的实践应用为例,验证分析该管理模式的有效性。研究结果表明:PDCS安全管理模式可以综合量化煤矿安全管理情况,并及时反映出安全执行情况、变化情况、发展趋势及重点问题,为决策辅助提供数字支撑。 展开更多
关键词 防范、控制、执行、整顿(PCDS) 安全管理模式 安全管理体系 信息化云平台 智能化管控
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Force Compensation Control for Electro-Hydraulic Servo System with Pump-Valve Compound Drive via QFT-DTOC 认领 引用 被引量：2
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作者 Kaixian Ba Yuan Wang +4 位作者 Xiaolong He Chunyu Wang Bin Yu Yaliang Liu Xiangdong Kong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2024年第2期228-246,共19页
Each joint of a hydraulic-driven legged robot adopts a highly integrated hydraulic drive unit(HDU),which features a high power-weight ratio.However,most HDUs are throttling-valve-controlled cylinder systems,which exhi... Each joint of a hydraulic-driven legged robot adopts a highly integrated hydraulic drive unit(HDU),which features a high power-weight ratio.However,most HDUs are throttling-valve-controlled cylinder systems,which exhibit high energy losses.By contrast,pump control systems offer a high efficiency.Nevertheless,their response ability is unsatisfactory.To fully utilize the advantages of pump and valve control systems,in this study,a new type of pump-valve compound drive system(PCDS)is designed,which can not only effectively reduce the energy loss,but can also ensure the response speed and response accuracy of the HDUs in robot joints to satisfy the performance requirements of robots.Herein,considering the force control requirements of energy conservation,high precision,and fast response of the robot joint HDU,a nonlinear mathematical model of the PCDS force control system is first introduced.In addition,pressure-flow nonlinearity,friction nonlinearity,load complexity and variability,and other factors affecting the system are considered,and a novel force control method based on quantitative feedback theory(QFT)and a disturbance torque observer(DTO)is designed,which is denoted as QFT-DTOC herein.This method improves the control accuracy and robustness of the force control system,reduces the effect of the disturbance torque on the control performance of the servo motor,and improves the overall force control performance of the system.Finally,experimental verification is performed using the PCDS performance test platform.The experimental results and quantitative data show that the QFT-DTOC proposed herein can significantly improve the force control performance of the PCDS.The relevant force control method can be used as a bottom-control method for the hydraulic servo system to provide a foundation for implementing the top-level trajectory planning of the robot. 展开更多
关键词 Legged robot Pump-valve compound drive system(PCDS) Force compensation control Quantitative feedback theory(QFT) Disturbance torque observer(DTO)
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X-ray photon counting detectors for preclinical and clinical applications 认领 引用
4
作者 REN Liqiang LIU Hong 《Instrumentation》 EI 2016年第4期43-54,共12页
Photon counting detectors(PCDs) have attained w ide use in X-ray imaging for various preclinical and clinical applications in the past decade. This paper briefly review s the preclinical and clinical applications of P... Photon counting detectors(PCDs) have attained w ide use in X-ray imaging for various preclinical and clinical applications in the past decade. This paper briefly review s the preclinical and clinical applications of PCDs based X-ray imaging systems.Starting with an introduction of X-ray single photon detection mechanism,the brief review first describes tw o major advantages of utilizing PCDs: photon energy resolving capability and electronic noise elimination. Compared to energy integrating detectors(EIDs),the aforementioned advantages make PCDs more favorable in X-ray imaging with profound benefits such as enhanced tissue contrast,decreased image noise,increased signal to noise ratio,decreased radiation dose to the small animals and patients,and more accurate material decomposition. The utilizations of PCDs in X-ray projection radiography and computed tomography(CT)including micro-CT,dedicated breast CT,K-edge CT,and clinical CT are then review ed for the imaging applications ranging from phantoms to small animals and humans. In addition,optimization methods aiming to improve the imaging performance using PCDs are briefly review ed. PCDs are not flaw less though,and their limitations are also discussed in this review. Nevertheless,PCDs may continuously contribute to the advancement of X-ray imaging techniques in future preclinical and clinical applications. 展开更多
关键词 Photon counting detectors(PCDs) energy integrating detectors(EIDs) X-ray imaging systems preclinical and clinical application
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