Abnormal sound monitoring method and system for mechanical equipment

Abstract

The invention relates to a mechanical equipment abnormal sound monitoring method and system. The method comprises the steps that S1, sound signals and image signals of detected mechanical equipment are collected; s2, identifying whether the sound signal contains abnormal noise or not; s3, if the abnormal noise exists, sound source positioning processing is carried out on the abnormal noise; s4, sound field imaging processing is carried out according to the generation direction and the noise intensity of the abnormal noise and the image signal; and S5, carrying out data analysis and fault diagnosis on the sound signal and the information after sound field imaging processing. By monitoring the abnormal sound of the mechanical equipment, the fault component of the equipment can be determined, and the fault reason can be effectively diagnosed, so that the maintenance is performed on purpose, the out-of-plan shutdown is reduced, and the influence on the normal operation of the nuclear power unit is avoided as far as possible.

Description

technical field [0001] The invention relates to the technical field of equipment detection, in particular to a method and system for monitoring abnormal sound of mechanical equipment. Background technique [0002] In a nuclear power plant, there are many kinds of mechanical equipment, and the continuous working time is long, and the mechanical equipment will inevitably fail. Usually, the failure of mechanical equipment will cause the equipment to produce abnormal sound, and this abnormal sound is usually used as the basis for judging the existence of the fault. For example, when the sound is in a dull state and accompanied by a certain vibration phenomenon, it is easier to judge and identify that the fault exists. When the abnormal noise emitted by the equipment is very slight or complex, the staff will not be able to effectively identify whether there is abnormal noise, which will bring difficulties to the fault diagnosis, and cannot accurately identify the early fault of ...

AI Technical Summary

Problems solved by technology

When the abnormal noise emitted by the equipment is very slight or complex, the staff will not be able to effectively identify whether there is abnormal noise, which brings difficulties to fault diagnosis, and cannot accurately identify early faults of the equipment in time

Abnormal sound problems occur from time to time, seriously affecting the safety, stability, reliability and load rate of nuclear power plant units

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