Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (7): 1553-1556.doi: 10.3969/j.issn.1001506X.2010.07.047

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Analog circuit fault diagnosis based on particle swarm optimization support vector machine

ZUO Lei, HOU Ligang, ZHANG Wang, WANG Jinhui, WU Wuchen   

  1. (Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China)
  • Online:2010-07-20 Published:2010-01-03

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Abstract:

In order to solve the problem of fault diagnosis method for analog IC diagnosis based on neural network, the method based on particle swarm optimization (PSO) and least squares support vector machine (LSSVM) is proposed. Wavelet package is used as a tool for extracting feature. Then, after training the LSSVM by PSO, the model of the circuit with fault diagnosis system is built. Simulation results show that the method is more effective.

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