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A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition

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Abstract

Remaining useful life prediction methods are extensively researched based on failure or suspension histories. However, for some applications, failure or suspension histories are hard to obtain due to high reliability requirement or expensive experiment cost. In addition, some systems’ work condition cannot be simulated. According to current research, remaining useful life prediction without failure or suspension histories is challenging. To solve this problem, an individual-based inference method is developed using recorded condition monitoring data to date. Features extracted from condition data are divided by adaptive time windows. The time window size is adjusted according to increasing rate. Features in two adjacent selected windows are regarded as the inputs and outputs to train an artificial neural network. Multi-step ahead rolling prediction is employed, predicted features are post-processed and regarded as inputs in the next prediction iteration. Rolling prediction is stopped until a prediction value exceeds failure threshold. The proposed method is validated by simulation bearing data and PHM-2012 Competition data. Results demonstrate that the proposed method is a promising intelligent prognostics approach.

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Acknowledgments

The authors would like to thank great support from Key Project supported by National Science Foundation of China (51035008) and the Fundamental Research Funds for the State Key Laboratory of Mechanical Transmission, Chongqing University (SKLMT-ZZKT-2012 MS 02).

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Authors and Affiliations

  1. The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400030, China

    Lei Xiao, Xiaohui Chen & Min Liu

  2. Mechanical Engineering College, Shijiazhuang, 050003, China

    Xinghui Zhang

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  1. Lei Xiao
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  2. Xiaohui Chen
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  3. Xinghui Zhang
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  4. Min Liu
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Correspondence to Lei Xiao.

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Xiao, L., Chen, X., Zhang, X. et al. A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition. J Intell Manuf 28, 1893–1914 (2017). https://doi.org/10.1007/s10845-015-1077-x

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  • DOI: https://doi.org/10.1007/s10845-015-1077-x

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