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In order to solve the fault diagnosis problem of vibration Parameter, this dissertation proposes the application of adaptive neural network-based fuzzy inference system to engine error diagnosis. Different from the fuzzy inference system, the membership function adopted in this method is no longer a fixed entity but an optimal one achieved by the practice of neural network, which adopts the method...
This paper, in order to reduce fault and improve ratio of recognition, build adaptive neural network-based fuzzy inference system (ANFIS), which was applied to build a fault diagnosis model of automobile engine, adopts the method of information fusion in entropy method to optimize the input interface. To reduce the impact of excessive parameters on classification accuracy and cost, it also raises...
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