Fault Characteristic Classification with Probabilistic Neural Networks

摘要

The probabilistic neural network (PNN) is applied to accomplish fault characteristic classification in test and fault diagnosis for missile system. Artificial intelligence (AI) is introduced into the application research of electronic system test and diagnosis. Further more, a novel reduction method based on the stretchable constraint clustering algorithm is adopted in the process of training pattern reduction in the PNN. The proper and effective reduction can make the diagnostic PNN more time efficient and easier to understand.