Fault detection based on GP-UKF and GP-CKF algorithms

摘要：

　　To solve the problem that the traditional Bayesian filtering method has high dependency on system equation,GPUKF and GP-CKF algorithms are used in this paper.The GP model is established by the off-line data generated by the system operation,and the model is used to replace the system equation in the traditional Bayesian filtering method.The simulation result shows that the two methods can detect fault successfully,and GP-CKF is computationally more efficient,and has higher accuracy in fault detection.

关键词： fault detection GP model accuracy efficiency

作者: Lijie Qi

作者单位: School of Electronic and Information Engineering,Beijing Jiaotong University Beijing,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 2239-2242

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）