A Continuous Evaluation Method and Model of Product Storage Lifetime

Xiao-xi Liu, Yong-Seon Mo, Jia-le Lu, Zi-gang Cai, Jin Li
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Abstract

In order to find out the actual product storage lifetime and make the product deployment and maintenance strategy, the continuous evaluation method and model of product storage lifetime are studied by combining traditional data degradation trend prediction algorithm and intelligent algorithm. It shows a good prediction effect on both the random and the determined change trend data. Based on the lifetime evaluation model, it can continuously predict the product lifetime with high accuracy, greatly save the storage lifetime evaluation cost, and guide the manufacturer to reduce the maintenance support cost of the product.
产品贮存寿命的连续评价方法与模型
为了了解产品的实际存贮寿命,制定产品的部署和维护策略,将传统的数据退化趋势预测算法与智能算法相结合,研究了产品存贮寿命的连续评估方法和模型。该方法对随机变化趋势数据和确定变化趋势数据均有较好的预测效果。基于寿命评估模型,可以持续高精度地预测产品寿命,大大节省存储寿命评估成本,指导制造商降低产品的维护支持成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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