Application of wavelet package and neural network in ventilators fault warning

ldquoEnergy-faultrdquo method is introduced for faults warning of ventilators, which is based on wavelet package analysis and BP neural network. Character vectors which reflect different faults state of ventilators are extracted from different frequency segments with the technology of wavelet package analysis, and taking them into BP neural network model which is trained with character vectors of typical faults sample. The faults states of ventilators are identified with the BP neural network model. The results of research show that this kind of faults diagnosis technology is an effective way to implement faults warning.