Fault prediction method and device, storage medium and electronic equipment

Abstract

The invention relates to a fault prediction method and device, a storage medium and electronic equipment. Relating to the technical field of fault detection, the method comprises the following steps:obtaining feature information of sample operation data, wherein the sample operation data comprises operation data when the target equipment has a fault; according to a preset classifier and the feature information, determining a target feature category from the plurality of fault feature categories, obtaining to-be-processed operation data of the target equipment, obtaining target feature information of the to-be-processed operation data, wherein the target feature information comprises feature information corresponding to the target feature category; predicting prediction feature informationof the target feature category in a prediction time period through a preset prediction algorithm according to the target feature information, and determining whether the target equipment breaks downin the prediction time period or not according to the prediction feature information. The fault occurrence time can be accurately predicted according to the feature information contained in the operation data of the equipment, the production efficiency is improved, and the maintenance cost is reduced.

Description

technical field [0001] The present disclosure relates to the technical field of fault detection, and in particular, to a fault prediction method, device, storage medium and electronic equipment. Background technique [0002] With the rapid development of the industrial field, mechanical equipment is becoming more and more complex and sophisticated, and corresponding failures are also increasing. Failures may cause mechanical equipment to fail to operate as expected, or even shut down, causing safety problems and economic losses. Normally, a large amount of manpower is required to manage machinery and equipment, and to repair or replace parts when a failure occurs. If it is possible to predict whether the mechanical equipment will fail in the future, the mechanical equipment can be maintained and maintained in advance, thereby reducing the economic loss caused by the mechanical equipment in the event of a failure. [0003] During the operation of mechanical equipment, corres...

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Problems solved by technology

[0003] During the operation of mechanical equipment, corresponding operating data will be generated, which can reflect the operating status of mechanical equipment. However, the amount of operating data is large and the information contained is complex. Therefore, the accuracy of predicting the time of equipment failure based on these operating data lower

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