SIMILARITY-BASED FAILURE THRESHOLD DETERMINATION FOR SYSTEM RESIDUAL LIFE PREDICTION

被引:6
|
作者
Ma, Biao [1 ]
Yan, Shufa [1 ]
Wang, Xu [1 ]
Chen, Jianhua [1 ]
Zheng, Changsong [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, 5 South Zhongguancun St, Beijing 100081, Peoples R China
关键词
system failure threshold; residual life; similarity; prognostics; oil field data; CONDITION-BASED MAINTENANCE; OIL; PROGNOSTICS; COMPONENTS; MODELS; POLICY;
D O I
10.17531/ein.2020.3.15
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An accurate determination of the system failure threshold is an essential requirement in achieving an appropriate system residual life prediction and a reasonable planned maintenance strategy optimization afterward for degradation systems. This paper proposes a failure threshold determination method based on quantitative measurement of the similarity between the operating system and the historical systems. The similarity is formulated by a weighted average function and then calculated by a convex quadratic formulation to minimizing the variance between the operating system and the historical systems. With an accurate determination of the system failure threshold in real-time, a better prediction of the residual life for the operating system is achieved. Finally, a real case study for several power-shift steering transmission systems monitored using oil spectral analysis is adopted to illustrate and numerically compare the improved performance of the proposed method.
引用
收藏
页码:520 / 529
页数:10
相关论文
共 50 条
  • [1] A generalized similarity measure for similarity-based residual life prediction
    You, M-Y
    Meng, G.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2011, 225 (E3) : 151 - 160
  • [2] Two improvements of similarity-based residual life prediction methods
    Gu, Mengyao
    Chen, Youling
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2019, 30 (01) : 303 - 315
  • [3] Two improvements of similarity-based residual life prediction methods
    Mengyao Gu
    Youling Chen
    [J]. Journal of Intelligent Manufacturing, 2019, 30 : 303 - 315
  • [4] Similarity-based residual life prediction method based on dynamic time scale and local similarity search
    Gu, Meng Yao
    Dai, Zhi Xi
    Wu, Hai Teng
    Xu, Xin Sheng
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (05)
  • [5] An improved similarity-based residual life prediction method based on the dynamic variable combination
    Gu, M. Y.
    Ge, J. Q.
    [J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2022, 47 (03):
  • [6] An improved similarity-based residual life prediction method based on the dynamic variable combination
    M Y Gu
    J Q Ge
    [J]. Sādhanā, 47
  • [7] Improved similarity-based residual life prediction method based on grey Markov model
    Gu, Meng Yao
    Ge, Jiang Qin
    Li, Zhen Ning
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2023, 45 (06)
  • [8] Improved similarity-based residual life prediction method based on grey Markov model
    Meng Yao Gu
    Jiang Qin Ge
    Zhen Ning Li
    [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, 45
  • [9] A Framework of Similarity-Based Residual Life Prediction Approaches Using Degradation Histories With Failure, Preventive Maintenance, and Suspension Events
    You, Ming-Yi
    Meng, Guang
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2013, 62 (01) : 127 - 135
  • [10] Similarity-based Residual Useful Life Prediction for Partially Unknown Cycle Varying Degradation
    Guepie, Blaise Kevin
    Lecoeuche, Stephane
    [J]. 2015 IEEE CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (PHM), 2015,