Volume 31 Issue 11
Nov.  2005
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Song Hua, Zhang Hongyue, Wang Xingrenet al. Multiple faults diagnosis approach for nonlinear system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(11): 1198-1203. (in Chinese)
Citation: Song Hua, Zhang Hongyue, Wang Xingrenet al. Multiple faults diagnosis approach for nonlinear system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(11): 1198-1203. (in Chinese)

Multiple faults diagnosis approach for nonlinear system

  • Received Date: 23 Aug 2004
  • Publish Date: 30 Nov 2005
  • A new method for multiple faults diagnosis of nonlinear systems based on fuzzy parity equation was presented. This approach can be used to detect and identify the fault models when there are several kinds fault such as actuator fault and sensor fault simultaneously in the system. Fully decoupled parity equation for multiple faults was constructed, and fuzzy parity equation was obtained by using the T-S fuzzy model. Residual generated by the fuzzy parity equation is sensitive to one special actuator fault and all sensor faults except one special sensor, and insensitive to other actuators and the special sensor. The faults in sensors and actuators were represented as biases. The fault parameter can be identified from the information contained in the residuals. A parameter estimator based on recursive least square was designed. A simulation example on an induction motor of a railway traction system was given for illustration. Results show that the new approach can be used to detect and identify the faults of multiple sensors and multiple actuators in nonlinear systems.

     

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