Industrial equipment fault prediction method based on deep learning

Abstract

The invention relates to an industrial equipment fault prediction method based on deep learning. The method includes the following steps: S1. industrial equipment sensing data are collected through a sensor; S2. a spectrogram is obtained according to timing sequence waves of the sensing data within fixed time; and S3. a deep learning algorithm performs fault prediction on industrial equipment according to the spectrogram. The industrial equipment fault prediction method based on deep learning first collects the industrial equipment sensing data through the sensor, then obtains the spectrogram according to the timing sequence waves of the sensing data within fixed time, and finally adopts the deep learning algorithm based on a convolutional neural network framework to perform fault prediction on the industrial equipment according to the spectrogram, thereby accurately predicting whether the industrial equipment has a fault, greatly prolonging the life of the industrial equipment, preventing a series consequence from being caused by an uncertain fault in industrial production, and maximally guaranteeing production benefits of an enterprise.

Description

technical field [0001] The invention relates to the technical field of intelligence, in particular to a method for predicting industrial equipment faults based on deep learning. Background technique [0002] In the manufacturing production line, industrial production equipment will be subject to continuous vibration and shock, which will lead to wear and aging of equipment materials and parts, resulting in industrial equipment prone to failure, and when people realize the failure, many defective products may have been produced , and even the entire industrial equipment has collapsed and shut down, causing huge losses. If the failure prediction can be made before the failure occurs, and the parts that are about to go wrong can be repaired and replaced in advance, so that the life of industrial equipment can be improved and the sudden failure of a certain equipment can have a serious impact on the entire industrial production. [0003] With the advent of Industry 4.0, industr...

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Problems solved by technology

[0002] In the manufacturing production line, industrial production equipment will be subject to continuous vibration and shock, which will lead to wear and aging of equipment materials and parts, resulting in industrial equipment prone to failure, and when people realize the failure, many defective products may have been produced , and even the entire industrial equipment has collapsed and shut down, resulting in huge losses

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