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In this paper, BP neural network is applied to fault pattern recognition of pipeline leakage. When the pipeline pressure falls suddenly, the pressure sensors on both sides of the pipeline get pressure signals. The fundamental principal of using wavelet transform to decompose the pressure signal is introduced, using wavelet transform in pressure de-noising and pipeline feature vector extraction, and...
Based on the analysis of the vibration fault features of mine ventilator, the paper established a fuzzy wavelet neural network model which can diagnose the faults of mine ventilator. The fuzzy wavelet neural network model unify fuzzy logic and BP neural network, using wavelet basis function as membership function. Furthermore, a hybrid learning algorithm based on self organized and supervised learning...
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