73 Unit Concurrent Fault Diagnosis Based on Artificial Immune System and Evidence Theory: Design of Unit Fault Diagnosis System Software
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Mechanical equipment, especially large scale equipment, has very complex failure mechanism, which is difficult to extract. Multiple concurrent failures are more and more widely happened. In cognizance of the complexity of concurrent fault diagnosis , this paper presents Unit concurrent Fault Diagnostic Systems based on Artificial Immune and Evidence theory. It uses the negative selection algorithm which is derived from the self - non-self recognition mechanism to process the data. Moreover, we used the information fusion rules of Evidence theory, in order to make a more precise diagnostic result. The simulation results show that this method has high veracity ratio...