Fault diagnosis method based on the moment characteristic of system pressure data is presentedin this paper. Using AMESim simulation technology, three typical faults of the brake system arestudied. After the moment and the percentile characteristics of the pressure curve of thehydraulic system are extracted and used as characteristic parameter, fault information isdiagnosed effectively using the BP neural network. The problem that the signal is notsynchronized and the characteristic parameters can not be obtained accurately are overcome. Itprovides some theoretical basis for the intelligent diagnosis and predictive maintenance of thehigh speed deep well hoist.
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