The classification technique uses various features of the signal amplitude, frequency, and power spectrum applied to the fuzzy classifier.

Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.

The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.