Algorithm Research & Explore
|
2003-2006

Equipment health prognosis based on dynamic EM-SHSMM under abnormal data

Wu Jianfei
Liu Qinming
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Aiming at the problem of remaining useful life prognosis under abnormal data during equipment degradation, this paper developed a prognostic method based on dynamic expectation maximization(EM) -segmented hidden semi-Markov model(SHSMM). Firstly, based on the SHSMM model framework, it used the expectation maximization algorithm to estimate the unknown parameters of the model. Secondly, to process the anomaly data in the samples, it proposed a dynamic forward-backward gray-fill algorithm based on WGM(1, 1), and it carried out the equipment health prognosis. Finally, it used a case study to evaluate the performance of the model. The results show that the proposed method could effectively solve the problem of abnormal data.

Foundation Support

国家自然科学基金资助项目(71471116,71271138)
国家教育部人文社会科学研究青年基金项目(15YJCZH096)
上海理工大学国家级项目培育基金项目(16HJPYQN02)
上海理工大学博士启动基金项目(BSQD2014038)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0025
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 2003-2006
Serial Number: 1001-3695(2019)07-019-2003-04

Publish History

[2019-07-05] Printed Article

Cite This Article

吴健飞, 刘勤明. 基于动态EM-SHSMM的异常数据下设备健康预测研究 [J]. 计算机应用研究, 2019, 36 (7): 2003-2006. (Wu Jianfei, Liu Qinming. Equipment health prognosis based on dynamic EM-SHSMM under abnormal data [J]. Application Research of Computers, 2019, 36 (7): 2003-2006. )

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.

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