考虑环境改变的部件核密度剩余寿命预测

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Abstract To address the problem that the remaining useful life prediction accuracy of a component is affected by environmental changes during operation, a kernel density estimation remaining useful life prediction model considering the impact of environmental shocks is proposed. Firstly, the non-parametric estimation method of adaptive kernel density is used to model the continuous natural degradation process of the component; secondly, assuming that the impact of the harsh environment on the component is the random shocks on the component, the remaining useful life prediction model is established by introducing a virtual age function and a variable sudden failure threshold under the consideration of changing the operating environment conditions to correlate the impact on the component with the continuous degradation process stochastically, and its reliability is analyzed. Finally, the accuracy and validity of the proposed model are verified by the experimental simulation analysis of wind turbine degradation data and gearbox wear measurement data.

Key words： Kernel Density Estimation Changing Environment Random Correlation Remaining Useful Life Prediction

Received: 04 July 2023 Published: 28 April 2024

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	Articles by authors
	ZHAO Bin
	LI Jiajuan
	SHI Hui
	REN Qianli
	KANG Hui

Cite this article:

ZHAO Bin,LI Jiajuan,SHI Hui, et al. Remaining useful life prediction of component kernel density estimation considering environmental changes[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(8): 145-154.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I8/145

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