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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
2091-2097

Application research on bearing degradation prediction based on E2E Deep VAE-LSTM

Zhou Zhuanga
Zhou Fengb
a. State Key Laboratory of Public Big Data, b. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.11.0676

Abstract

Aiming at the problems that the methods of additionally extracting data features needed a lot of time and labor cost, the low accuracy of linear prediction of bearing degradation, and the time dependence of time series data, this paper proposed an end-to-end deep variational autoencoder(VAE) model combined with long-short term memory networks(E2E Deep VAE-LSTM) for bearing degradation prediction. By improving the structure of VAE and combining with LSTM, this model directly trained and predicted on datasets containing outliers, and used the system reconstruction error to characterize the bearing degradation trend, realized the nonlinear prediction of bearing degradation. Experimental results on three real datasets show that the E2E Deep VAE-LSTM model can obtain satisfactory prediction results, the prediction accuracy is higher than several existing AE models and other methods, and it has good generalization ability and anti-overfitting ability.

Foundation Support

贵州省自然科学技术基金资助项目(黔科合基础［2019］1088)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0676
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: System Development & Application
Pages: 2091-2097
Serial Number: 1001-3695(2022)07-027-2091-07

Publish History

[2022-02-24] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

周壮, 周凤. 基于E2E Deep VAE-LSTM的轴承退化预测应用研究 [J]. 计算机应用研究, 2022, 39 (7): 2091-2097. (Zhou Zhuang, Zhou Feng. Application research on bearing degradation prediction based on E2E Deep VAE-LSTM [J]. Application Research of Computers, 2022, 39 (7): 2091-2097. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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