Fault Diagnosis with Adaptive Projection Algorithms for Complex Non-Gaussian Stochastic Distribution Systems

摘要：

　　This paper discusses the fault diagnosis problem for a class of non-Gaussian stochastic processes with unknown fault.By using the spline function and T-S model simultaneously,the probability density function(PDF)control problem can be transformed into the control problem of T-S fuzzy weight dynamics.In this framework,an adaptive fuzzy filter based on output PDF is designed to estimate the size of system fault.Meanwhile,in order to solve the bounded problem of the fault,an adaptive projection algorithm is applied into adjust the estimated value for the fault.As a result,the satisfactory stability and fault diagnosis ability can be guaranteed by rigorous theoretical proof.

关键词： Non-gaussian stochastic processes Fault diagnosis Adaptive projection algorithm T-S fuzzy model

作者: Yangfei Ye Yang Yi Xiaokang Sun Tianping Zhang

作者单位: College of Information Engineering,Yangzhou University,Yangzhou 225127,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 475-482

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）