会议专题

Research on Generatin Detector Algorithm in Fault Detection

The essence of fault diagnosis is pattern recognition to characters of fault. The non-dimensional parameter immune detector as the recognition fault detector is constructed with some non-dimensional parameter being more hypersensitive to fault combined with negative selection mechanism of artificial immune system. And two parts of immune vaccine and immune learning produce the excellence detector to diagnose fault directly. The part of immune response show fault identification and the result of the k-nearest neighbor classify method to diagnose fault. The algorithm of the design frame graph and the concrete implementing approach is given in detaiL In the end. the simulation examples show that the detector by the algorithm is valid to fault detection.

Fault Detector Clone Selection Mutation Search

Wu Zhifei Wang Tie Zhang Qinghua Gao Tingyu Li Hongfang

College of Mechanical Engineering Taiyuan University of Technology Taiyuan, China College of Computer and Electronic Information Engine Maoming University Maoming, China

国际会议

The 2nd International Conference on Software Engineering and Data Mining(IEEE 第二届国际软件工程和数据挖掘学术大会 SEDM 2010)

成都

英文

147-150

2010-06-23(万方平台首次上网日期,不代表论文的发表时间)