Failure diagnosis method of power equipment

Abstract

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.

Description

technical field [0001] The invention relates to a mechanical fault forecasting and monitoring method, in particular to a power equipment fault diagnosis method used in the field of reciprocating machinery. Background technique [0002] Reciprocating machinery is a type of key power equipment used in petroleum, chemical, metallurgy, power and other industrial fields, and plays the role of the "heart" of the human body in production. However, due to the complex structure and motion of reciprocating machinery, its key moving parts include connecting rods, crankshafts, crossheads, piston rods, pistons, etc. Among them, the connecting rods and crankshafts perform rotary motions, and the crossheads are used for rotary motions and linear reciprocating motions. At the intersection point, the piston rod and the piston make linear reciprocating motions in the cylinder. The complexity of the above motions makes the failure rate of reciprocating machinery in production very high. Once a...

AI Technical Summary

Problems solved by technology

Because this method has high requirements on the accuracy of rotational speed acquisition, inaccurate measurement will often occur in actual use, and it also needs a tracking filter device to filter the vibration signal, so the cost is relatively high, and the analysis results High discreteness and low stability are not conducive to practical promotion and application

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