Sensor fault diagnosis based on improved dynamic structured residual approach in dynamic processes

摘要：

A new sensor faults diagnosis method based on improved dynamic structured residual approach with maximized sensitivity (DSRAMS) is proposed for dynamic processes monitoring in this paper. The dynamic principal component analysis (DPCA) method is employed for system identification and model reduction. Extended incidence matrix is proposed to diagnosis the dynamical systems where one sensor fault will affect multiple elements of the measurement vector. Sensor faults sensitivity and critical sensitivity are defined, based on which an incidence matrix optimization algorithm is proposed. Simulation results in a dynamic process show the effectiveness of the proposed method.

关键词： sensor fault diagnosis dynamical processes monitoring structured residual approach

作者: Kechang Fu Ming Zhu Peng Liu Guojiang Wang

作者单位: Department of Control Engineering Chengdu University of Information Technology Chengdu 610225, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2635-2638

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）