Application of Model-based and Data-driven Techniques in Fault Diagnosis

摘要：

Model-based fault diagnosis, using statistical techniques, residual generation (by analytical redundancy), and parameter estimation, has been an active area of research for the past four decades. However, these techniques are developed in isolation and generally a single technique can not address the diagnostic problems in complex systems. In this paper, we investigate a hybrid approach, which combines different techniques to obtain better diagnostic performance than the use of a single technique alone, and demonstrate it on a fault detection and diagnosis(FDD)system.

关键词： Model-based Data-driven Fault Detection and Diagnosis(FDD)

作者: Wang Ziling Xu Aiqiang Yang Zhiyong

作者单位: Navy Aeronautics Engineer Institute,Yantai,264001,China Second Artillery Engineering Academic Xian 710025 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）