Industrial equipment remaining useful life prediction method and system and electronic equipment

A technology of effective life and industrial equipment, applied in forecasting, electrical digital data processing, instruments, etc., can solve the problems of random aging mechanism, difficult to analyze model, difficult to establish model environmental noise and degradation mechanism, etc., to achieve good generalization ability, the effect of improving forecast speed and forecast accuracy
CN110377984AActive Publication Date: 2019-10-25SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Publication Date
2019-10-25

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Abstract

The invention relates to an industrial equipment remaining useful life prediction method and system and electronic equipment. The method comprises the following steps: a, performing normalization processing on original vibration signal data of equipment; b, after feature expansion is conducted on the normalized vibration signal data in an empirical mode decomposition mode, extracting data featuresof the vibration signal data; c, constructing a time sequence convolution network according to the extracted data features; and d, outputting a residual effective life prediction result of the equipment by using the time sequence convolution network. According to the method, the data characteristics of the original signals are decomposed, extracted and enriched through the empirical model, and then the sequential convolutional neural network is used for training and predicting to obtain the residual effective service life prediction model, so that the prediction speed and prediction precisionof the residual life of the industrial equipment can be greatly improved, and the method has realizability in the actual manufacturing process.
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Description

Technical field

[0001] This application belongs to the technical field of equipment failure prediction, and particularly relates to a method, system and electronic equipment for predicting the remaining effective life of industrial equipment. Background technique

[0002] In the industrial production process, the aging process of equipment is inevitable. In order to remain competitive, industrial production enterprises must keep their production equipment in good working conditions for a long time, and need to improve the availability, stability and safety of the equipment while reducing equipment maintenance costs, and equipment failure prediction becomes a key link. Accurate equipment failure prediction can provide equipment maintenance personnel with equipment safety warnings in advance. Maintenance personnel can determine equipment maintenance time in advance based on the warnings, reduce the scrap rate due to equipment failures, shorten the maintenance cycle, and thus greatl...

Claims

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