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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2417-2422

Research on matched wavelet deep transfer learning for micro vibration fault diagnosis

Zhang Ying
Peng Tingwei
Luo Ruimin
School of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2023.01.0006

Abstract

This paper proposed a matching wavelet depth model transfer learning algorithm to solve the problems of low efficiency of feature identification and limited number of samples, which exist in traditional methods for small vibration fault diagnosis. Firstly, it used Morse continuous wavelets to capture small changes in a one-dimensional fault signal by matching and up-dimensioning the signal to obtain a visual enhanced feature image. Then, this algorithm effectively transferred the source domain model of the depth transfer network. This model had efficient image learning experience and could reduce the number of training samples in the target domain. Finally, it optimized the parameters of the process for this algorithm based on limited data in model transfer. The algorithm has proven to be highly generalizable, allowing the detection and localization of minute features in multiple operating conditions and effectively reducing the reliance on data, greatly improving the speed of computing and diagnostic accuracy.

Foundation Support

国家自然科学基金资助项目(52172360)
先进航空动力创新工作站项目(HFY-KZ-2022-J09023)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0006
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: System Development & Application
Pages: 2417-2422
Serial Number: 1001-3695(2023)08-027-2417-06

Publish History

[2023-03-13] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

张莹, 彭庭威, 罗睿敏. 面向微小振动故障诊断的匹配小波深度迁移学习 [J]. 计算机应用研究, 2023, 40 (8): 2417-2422. (Zhang Ying, Peng Tingwei, Luo Ruimin. Research on matched wavelet deep transfer learning for micro vibration fault diagnosis [J]. Application Research of Computers, 2023, 40 (8): 2417-2422. )

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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