A General Design Technique for Fault Diagnostic Systems

نویسندگان

  • Jia-Zhou He
  • Zhi-Hua Zhou
  • Zhi-Hong Zhao
  • Shi-Fu Chen
چکیده

In current paper, we put forward a design method to Fault Diagnostic Systems(FDS) by proposing a new fault model and using the incremental hybrid learning algorithm which tightly combines symbolic learning and neural networks. It’s capable of overcoming several shortcomings in the existing diagnostic systems, such as the lack of universality, the unbalance in the use of fault prior knowledge and the dynamic data and the dilemma of stability and plasticity. The experiment showed the FDS implemented by this kind of method had a good diagnostic ability.

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تاریخ انتشار 2001