The invention relates to a
failure diagnosis method of
power equipment, comprising 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) judging whether the acquired data exceed the upper limit of the threshold values of the
normal phase and the amplitude according to the
oil analysis data and the data acquired by each sensor, if not, continuing operating the equipment, if so, carrying out
phase deviation and amplitude data quantifying; (3) establishing a fuzzy evaluation matrix of the amplitude and the phase
signal according to a fuzzy evaluation method; and (4) carrying out
failure diagnosis on various acquired data according to the fuzzy evaluation matrix. 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.