In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
System Development & Application
|
1119-1122,1127

Equipment health prognosis based on IPSO-BSVM under small and imbalanced sample data

Wei Jingjing
Liu Qinming
Ye Chunming
Chen Xiang
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

In view of the lack of abundant sample data and sample unbalanced problem in equipment health prognosis, this paper proposed a health prognosis model based on IPSO-BSVM. Firstly, it put forward the dynamic non-linear inertia weight to improve the PSO algorithm. Secondly, it introduced the balanced SVM to improve the performance of SVM. Thirdly, it applied the improved PSO algorithm to optimize the parameters of the balanced SVM. Finally, it used the IPSO-BSVM model for equipment state identification and residual useful life prognosis. The simulation results show that the proposed method can effectively solve the problem of equipment health prognosis under small and imbalanced sample data.

Foundation Support

国家自然科学基金资助项目(71840003,71632008)
上海市自然科学基金资助项目(19ZR1435600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.04.0088
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: System Development & Application
Pages: 1119-1122,1127
Serial Number: 1001-3695(2021)04-029-1119-04

Publish History

[2021-04-05] Printed Article

Cite This Article

位晶晶, 刘勤明, 叶春明, 等. 基于IPSO-BSVM的小样本数据不均衡下的设备健康预测研究 [J]. 计算机应用研究, 2021, 38 (4): 1119-1122,1127. (Wei Jingjing, Liu Qinming, Ye Chunming, et al. Equipment health prognosis based on IPSO-BSVM under small and imbalanced sample data [J]. Application Research of Computers, 2021, 38 (4): 1119-1122,1127. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)