System maintenance drive simulation method in intermittent operations under PHM supervision

Yiqian Cui, Junyou Shi, Zili Wang, Jiazhen Feng
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引用次数: 4

Abstract

Prognosis and Health Management (PHM) has exerted a profound impact on the integrated maintenance and support system. By monitoring the fault evolution of the parts or components, the potential fault could be predicted, and the corresponding maintenance and support decisions could be deducted. PHM has transferred the traditional maintenance mode to the Condition-based Maintenance (CBM). In order to validate the availability and the effectiveness of the integrated maintenance and support system, the computer simulation method is widely used. The maintenance drive serves as the starting point of a new cycle of maintenance and support activity in the object-oriented simulation model. Traditional simulations based on the system failure rate or mean time between failures (MTBF) would not ensure an accurate result when PHM functions. This paper makes a discussion on that problem. The concept of fault evolution index (FEI) is put forth in the paper, and several intermittent FEI evolution models are given for simulation reference. In addition, the paper gives a detailed process of modeling and simulating the maintenance drive.
PHM监督下间歇运行的系统维护驱动仿真方法
预后与健康管理(PHM)对综合维护保障系统产生了深远的影响。通过对零部件故障演变过程的监测,可以预测潜在故障,并做出相应的维护和支持决策。PHM将传统的维修模式转变为基于状态的维修(CBM)。为了验证综合维修保障系统的可用性和有效性,计算机仿真方法被广泛应用。在面向对象仿真模型中,维护驱动作为维护和支持活动新周期的起点。传统的基于系统故障率或平均故障间隔时间(MTBF)的仿真不能保证在PHM起作用时得到准确的结果。本文就这一问题进行了探讨。本文提出了故障演化指标的概念,并给出了几种故障演化间歇模型供仿真参考。此外,本文还详细介绍了维修驱动的建模和仿真过程。
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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