Failure monitoring and predicting method and system of power equipment

The invention relates to a failure monitoring and predicting method and system of power equipment. The method comprises the following steps: (1) installing a failure monitoring and predicting system comprising a reciprocating engine, an oil extraction device, an oil preprocessor, an oil data analyzing and storing module, a failure diagnosis module, a magnetoelectric sensor, a voltage sensor, a pressure sensor, a temperature sensor, a vibration sensor, an ultrasonic wave sensor, a signal conditioning box, an analog-to-digital conversion module and a data acquisition module; (2) the data acquisition module acquiring the crankshaft phase signal and each sensor starting acquiring the signals; (3) sending the acquired signals to the failure diagnosis module; (4) the oil extraction device taking out dynamic oil samples and the oil data analyzing and storing module sending the concentration values of the metallic elements in the oil to the failure diagnosis module; (5) determining the threshold values of the phase signal and the amplitude; and (6) the failure diagnosis module carrying out failure monitoring and predicting on the reciprocating machine states. The invention has overall acquisition means, can satisfy the failure predicting and monitoring functions and has high diagnosis precision. The invention can be widely applied to various reciprocating machines.