Acta Optica Sinica, Volume. 39, Issue 12, 1223003(2019)

Adaptive Remaining Useful Life Prediction Method for Newly Developed Photoelectric Products

Xi Wang1, Changhua Hu1、*, Hong Pei1, Zhenan Pang1, and Wei Xiong2
Author Affiliations
  • 1College of Missile Engineering, Rocket Force University of Engineering, Xi′an, Shaanxi 710025, China
  • 2College of Joint Service, National Defense University of PLA, Beijing 100858, China
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    References(20)

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    [12] Zhang H H, Hu C H, Fan H D et al. A new remaining useful life prediction approach based on Wiener process with an adaptive drift. [C]∥2015 Chinese Automation Congress (CAC), November 27-29, 2015, Wuhan, China. New York: IEEE, 2052-2056(2015).

    [14] Chui C K, Chen G R. Limiting Kalman filter[M]. ∥Kalman filtering with real-time applications. Springer series in information sciences. Berlin, Heidelberg: Springer, 17, 78-98(1987).

    [17] Kadirkamanathan V, Anderson S R. Maximum-likelihood estimation of delta-domain model parameters from noisy output signals[J]. IEEE Transactions on Signal Processing, 56, 3765-3770(2008).

    [19] Shumway R H, Stoffer D S. Time series analysis and its applications[M]. New York, NY: Springer, 326-344(2011).

    [20] Meeker W Q, Escobar L A. Statistical methods for reliability data[M]. New York: John Wiley & Sons, 323-325(1998).

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    Xi Wang, Changhua Hu, Hong Pei, Zhenan Pang, Wei Xiong. Adaptive Remaining Useful Life Prediction Method for Newly Developed Photoelectric Products[J]. Acta Optica Sinica, 2019, 39(12): 1223003

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    Paper Information

    Category: Optical Devices

    Received: Jun. 10, 2019

    Accepted: Aug. 8, 2019

    Published Online: Dec. 6, 2019

    The Author Email: Hu Changhua (hch_reu@sina.com)

    DOI:10.3788/AOS201939.1223003

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