Failure monitoring and predicting method and system of power equipment

Abstract

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.

Description

technical field [0001] The invention relates to a mechanical failure forecasting and monitoring method, in particular to a power equipment failure monitoring and forecasting method used in the field of reciprocating machinery and a system thereof. 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...

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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