Equipment failure detection method, equipment failure detection device and computer storage medium

Abstract

The present application discloses a device fault detection method, the method comprising: transmitting a measuring beam to a target device, and collecting a detection beam reflected by the measurement beam from the target device; extracting a vibration signal from the detection beam; inputting the vibration signal into a trained A fault learning model to identify the type of fault associated with the vibration signal to determine the type of fault of the target device. The application also discloses a corresponding equipment fault detection device and a computer storage medium. Through the above method, on the one hand, the non-contact vibration signal measurement scheme is adopted, without the need for an external soundproof room, and equipment failures can be detected efficiently. On the other hand, time and labor costs are saved during mass inspection of equipment, and the efficiency of quality inspection is improved.

Description

technical field [0001] The present application relates to the field of fault detection, in particular to an equipment fault detection method, an equipment fault detection device and a computer storage medium. Background technique [0002] During the operation of the equipment, there will be various sounds, some of which are the sounds produced by the equipment under normal operating conditions, and some of which are abnormal sounds produced by the equipment under conditions such as failure. When there are unusual sounds, it usually indicates that the equipment is malfunctioning and maintenance is required. [0003] However, the current way of detecting equipment failure is very backward, such as using the method of human listening to distinguish whether the equipment is malfunctioning at that time. Another example is the quality sampling inspection before the equipment leaves the factory. It is necessary to build an independent soundproof room, and a large number of equipme...

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Problems solved by technology

[0003] However, the current method of detecting equipment failures is very backward. For example, the method of human listening and identification is used to judge whether the equipment is malfunctioning at that time.

Another example is to conduct quality sampling inspections before the equipment leaves the factory. It is necessary to establish an independent soundproof room and to test a large number of equipment. The detection efficiency is low and the implementation cost is high.

In some cases, it is necessary to carry out destructive quality sampling inspection on the equipment before leaving the factory, such as the detection of solder joints, it is necessary to knock and destroy the sampled samples to check whether the quality of the solder joints is qualified. This method is also low in detection efficiency and high implementation cost

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