Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (5): 64-67.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Application of Nondimensional Immune Detector to Slowly-Varying Fault Detection

Cen Jian1  Zhang  Qing-hua2  Xu Bu-gong1  Gao Ting-yu2   

  1. 1 School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong, 2. School of Electronic Information and Computer, Maoming University, Maoming 525000, Guangdong, China
  • Received:2008-10-27 Revised:2008-12-22 Online:2009-05-25 Published:2009-05-25
  • Contact: 岑健（1967-），女，在职博士生，广东技术师范学院副教授，主要从事智能故障诊断研究． E-mail:mmcjian@163.com
  • About author:岑健（1967-），女，在职博士生，广东技术师范学院副教授，主要从事智能故障诊断研究．
  • Supported by:

    广东省自然科学基金资助项目（8152500002000011,05011905）;广东省科技计划项目（2006812401009）

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Abstract:

As slowly-varying faults are difficult to detect, a detection method based on the nondimensional immune detector is proposed. In this method, first, a generation algorithm of immune detector based on biological immune principle and evolutionary mechanism is combined with the nondimensional parameters to construct five nondimen- sional immune detectors. Next, in order to detect small variations, the negative selection algorithm is adopted and a proper code length is selected to deal with the extracted data. Then, with the cross-detection using multiple non- dimensional immune detectors and with the integration and fusion of test data, comprehensive fault information is obtained. After an offline training, the multiple nondimensional immune detectors are finally used for the online de- tection of slowly-varying faults. Simulated results and practical application both indicate that the proposed method effectively detects slowly-varying faults on line

Key words: artificial immunity, fault detection, nondimensional parameter, immune detector, slowly-varying fault