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

Volume 14, Number 12, December 2018, pp. 2941-2950
DOI: 10.23940/ijpe.18.12.p4.29412950

Zhaoli Song, Qian Zhao, Zhijun Cheng, Xiwen Wu, Yong Yang, and Bo Guo

Department of Management, National University of Defence Technology, Changsha, 410072, China

(Submitted on September 12, 2018; Revised on October 17, 2018; Accepted on November 21, 2018)

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.

 

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