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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
96-101

Two-stage remaining useful life prediction of rolling bearings based on BA-WPHM

Wang Ying1
Gu Xin1
Lyu Wenyuan2
1. College of Engineering, Northeast Agricultural University, Harbin 150030, China
2. School of Management, Harbin Institute of Technology, Harbin 150001, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0242

Abstract

To improve the accuracy of remaining useful life prediction for rolling bearings, based on the two-stage characteristics of rolling bearings operation, this paper proposed a two-stage remaining useful life prediction method based on bat algorithm(BA) and Weibull proportional hazards model(WPHM). Firstly, it constructed a remaining useful life prediction model based on WPHM. Secondly, it put forward the two-stage maximum likelihood estimation method to establish the new likelihood function, and adopted BA to solve it. Finally, it established the BA-WPHM model for rolling bearings remaining useful life prediction. The case analysis shows that the parameters estimation accuracy of the proposed method is superior to that of Newton-Raphson, self-organizing hierarchical monkey algorithm(SHMA), unique adaptive particle swarm optimization(UAPSO), and the prediction accuracy of BA-WPHM is better than that of support vector regression(SVR) method. The results verify the effectiveness of the proposed method, which can provide a basis for the feasibility of rolling bearing maintenance decision-making.

Foundation Support

十三五科技部国家重点研发计划资助项目(2018YFD0300105)
黑龙江省博士后科研启动基金资助项目(LBH-Q13021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0242
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 96-101
Serial Number: 1001-3695(2022)01-017-0096-06

Publish History

[2021-09-09] Accepted Paper
[2022-01-05] Printed Article

Cite This Article

王英, 顾欣, 吕文元. 基于BA-WPHM的滚动轴承两阶段剩余寿命预测方法 [J]. 计算机应用研究, 2022, 39 (1): 96-101. (Wang Ying, Gu Xin, Lyu Wenyuan. Two-stage remaining useful life prediction of rolling bearings based on BA-WPHM [J]. Application Research of Computers, 2022, 39 (1): 96-101. )

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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