Oil delivery pump rolling bearing state evaluation method based on convolutional neural network and long-term and short-term memory network

Abstract

The invention discloses an oil delivery pump rolling bearing state evaluation method based on a convolutional neural network and a long-term and short-term memory network. The method comprises the following steps: acquiring vibration data; dividing the state of the rolling bearing according to the existing full life cycle data of the rolling bearing; acquiring a time domain feature, a frequency domain feature and a time-frequency domain feature of the vibration data; preprocessing the data, and constructing a training set and a test set; constructing a convolutional neural network-long short-term memory network model; performing forward propagation on the training network, and performing back propagation to update network parameters; judging whether the model precision meets requirements or not, wherein the output model is used for state evaluation. According to the invention, on the basis of a large number of experiments, it is found that the convolutional neural network is high in accuracy, the long-term and short-term memory network is high in generalization ability, and the models of the two methods are fused to obtain a model with the final accuracy reaching 95% and the generalization ability reaching 78%. And a one-dimensional convolutional neural network is applied, so the process of converting data into images is omitted, and the efficiency is improved.

Description

technical field [0001] The invention relates to a method for evaluating the state of rolling bearings of oil delivery pumps based on convolutional neural networks and long-term and short-term memory networks, and belongs to the field of state evaluation of rolling bearings, key components of rotating machinery. Background technique [0002] Rolling bearings are key components in rotating machinery. According to statistics, among the failures of rotating machinery, rolling bearings account for more than 30%. As the key equipment for long-distance pipeline transportation, oil pumps, among which, rolling bearings play a vital role. For large-scale rotating machinery, regular maintenance is usually used, which causes premature or untimely maintenance of equipment and brings certain economic losses. Therefore, the state evaluation of rolling bearings can help enterprises to have a timely and accurate evaluation of oil pumps, so as to formulate reasonable maintenance and repair p...

AI Technical Summary

Problems solved by technology

For large rotating machinery, regular maintenance is usually used, which results in premature or untimely maintenance of the equipment and brings certain economic losses

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