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Nonlinear-Wiener-process-based remaining useful life prediction method for stochastic deteriorating devices with multiple modes
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Mengcao LI, Zhengxin ZHANG, Xiaosheng SI, Lei FENG, Jianxun ZHANG
Journal of Mechanical Strength | 2025, 47(9) : 221 - 232
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Journal of Mechanical Strength | 2025, 47(9): 221-232
Nonlinear-Wiener-process-based remaining useful life prediction method for stochastic deteriorating devices with multiple modes
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Mengcao LI, Zhengxin ZHANG, Xiaosheng SI, Lei FENG, Jianxun ZHANG
Affiliations
  • Rocket Force University of Engineering, Xi'an 710025, China
Published: 2025-09-15 doi: 10.16579/j.issn.1001.9669.2025.09.022
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The challenge in predicting the remaining useful life (RUL) of multi-mode stochastic degradation equipment lies in establishing a class of stochastic degradation models capable of characterizing multiple distinct degradation modes and deriving the remaining useful life distribution of the equipment under such multi-mode stochastic degradation models.First, a generalized stochastic degradation model based on the nonlinear Wiener process was developed, achieving a unified characterization of multi-mode stochastic degradation processes. Second, a maximum likelihood estimation (MLE) method for model parameters was proposed, utilizing historical degradation data from similar equipment. Third, an analytical approximate solution for the probability density function (PDF) of the remaining useful life distribution of multi-mode stochastic degradation equipment was derived under the first hitting time (FHT) framework. Finally, a sequential Bayesian framework for model parameter updating was constructed, enabling online prediction of the remaining useful life of in-service equipment.Numerical simulation analyses and an application case study on bearing remaining useful life prediction demonstrate that the proposed method can effectively model the multi-mode stochastic degradation processes of stochastic degradation equipment and accurately predict the remaining useful life, thereby providing predictive information to support subsequent maintenance decision-making for the system.

Prognostics and health management  /  Remaining useful life prediction  /  Multiple modes degradation modeling  /  Nonlinear Wiener process  /  Reliability
Mengcao LI, Zhengxin ZHANG, Xiaosheng SI, Lei FENG, Jianxun ZHANG. Nonlinear-Wiener-process-based remaining useful life prediction method for stochastic deteriorating devices with multiple modes[J]. Journal of Mechanical Strength, 2025 , 47 (9) : 221 -232 . DOI: 10.16579/j.issn.1001.9669.2025.09.022
  • National Natural Science Foundation of China(62233017; 62373369; 62450056; 62373368)
Year 2025 volume 47 Issue 9
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.09.022
  • Receive Date:2025-05-18
  • Online Date:2026-03-20
  • Published:2025-09-15
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History
  • Received:2025-05-18
  • Revised:2025-08-01
Funding
National Natural Science Foundation of China(62233017; 62373369; 62450056; 62373368)
Affiliations
    Rocket Force University of Engineering, Xi'an 710025, China

Corresponding:

ZHANG Zhengxin, E-mail:
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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