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A similarity-based method for remaining useful life prediction based on operational reliability

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Abstract

Remaining useful life (RUL) prediction is an effective method to ensure system safety and avoid catastrophe in applied intelligent perspective. A similarity-based method for RUL prediction based on operational reliability has been proposed in this paper to overcome the shortcomings existing in the conventional similarity-based RUL prediction method of devices. The first shortcoming is the construction difficulty of degradation index (DI) and the second shortcoming is the low accuracy of similarity measurement. First, a novel operational reliability fused index (ORI) was proposed by calculating offset distance and offset angle between current state and normal state of devices, and the index was used as the DI for life prediction. Then, a multi-factor similarity measurement method was proposed to select the most similarity samples and a novel similarity measurement and weight assigned method considering degradation degree was proposed based on the previous similarity measurement. Finally, the RUL was weighted predicted. The effectiveness of the proposed method was validated by implementing two cases.

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Acknowledgements

This research was supported by the First UHVAC GIL Special Project of China (Grant by No. SGJSJX00YJJS1602361) and project supported by the Sci-Tech Innovation Plan of Shaanxi (No. 2016KTCQ01-65).

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Authors and Affiliations

  1. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Liang Zeming, Gao Jianmin, Jiang Hongquan, Gao Xu, Gao Zhiyong & Wang Rongxi

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  1. Liang Zeming
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  2. Gao Jianmin
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  3. Jiang Hongquan
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  4. Gao Xu
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  5. Gao Zhiyong
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Correspondence to Jiang Hongquan.

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Zeming, L., Jianmin, G., Hongquan, J. et al. A similarity-based method for remaining useful life prediction based on operational reliability. Appl Intell 48, 2983–2995 (2018). https://doi.org/10.1007/s10489-017-1128-4

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