Residual Life Prediction of Long-Term Storage Products Considering Regular Inspection and Preventive Maintenance

doi:10.23940/ijpe.18.12.p4.29412950

Abstract

Abstract:

Predicting the residual life of long-term storage products with regular inspection and preventive maintenance is of great significance nowadays. In this paper, a model of storage process that takes multi-stage degradation and preventive maintenance into consideration is established. Considering the amount of degradation of the product to follow the Wiener process, we put forward a method to predict the residual life of long-storage products based on the degradation model in a multi-stage storage process. Through a simulation method, five experiments are performed to calculate and compare the residual life in different situations. Finally, we find that the dramatic changes of environmental conditions during the inspection period influence the residual storage life observably. By simulation, this model is effective by making full use of data collected during storage time, including degradation amount and maintenance information.

Key words: multi-stage degradation, preventive maintenance, residual storage life, Wiener process

Zhaoli Song, Qian Zhao, Zhijun Cheng, Xiwen Wu, Yong Yang, and Bo Guo. Residual Life Prediction of Long-Term Storage Products Considering Regular Inspection and Preventive Maintenance [J]. Int J Performability Eng, 2018, 14(12): 2941-2950.

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Figures/Tables 7

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Table 1

Estimation results for residual storage life"

Experiment number	Degradation parameters			Maintenance parameters		$L$ (h)
Experiment number	$μ 1$	$μ 2$	$σ$	$μ m$	$σ m$	$L$ (h)
1	0.005	5	0.5	50	1	5019
2	0.01	5	0.5	50	1	4796
3	0.005	8	0.5	50	1	3291
4	0.005	5	1	50	1	5016
5	0.005	5	0.5	40	1	4564

Table 1

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