基于选定摩擦数据的系统剩余使用寿命估计

D. Valis, O. Pokora
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引用次数: 0

摘要

本文的目的是估计系统的剩余技术寿命。在统计估计剩余技术寿命时,需要使用大量的摩擦诊断数据。数据包括油中所含颗粒的信息,这些信息证明了油的状况以及系统的状况。我们关注那些我们认为有趣的粒子。它们是铁(Fe)和铅(Pb)。通过模拟油中颗粒的出现,我们期望确定进行预防性维护的适当时刻和系统剩余使用寿命的长度。建模的方法是基于扩散过程的具体特征,即Ornstein-Uhlenbeck过程。根据建模结果,我们可以设定“CBM -基于状态的维护”的原则。然而,可能性要大得多,因为我们还可以计划行动、任务和降低生命成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of system residual useful life based on selected tribo data
The aim of the article is to estimate a system residual technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. Data includes the information about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting. They are Ferrum (Fe) and Lead (Pb). By modelling the occurrence of particles in oil we expect to determine the adequate moment to perform preventive maintenance and the length of residual system useful life. The way of modelling is based on the specific characteristics of diffusion processes, namely the Ornstein-Uhlenbeck process. Following the modelling results we could set the principles of "CBM - Condition Based Maintenance". However, the possibilities are much wider, since we can also plan operation, mission and reduce life cost.
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