Abstract: A new identification and classification of unit failures by computer intelligence is realized by using the Canny operator and Hu invariant moments in the image discipline instead of human eyes to identify axis orbit, and applying artificial fish streamline redundant data and PNN fault classification. This paper proves that this method has a higher recognition accuracy and efficiency than the traditional neural network.