可修系统现场故障数据的年龄调整比较

T. Halim, L. Tang
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引用次数: 1

摘要

传统的基于日历的平均累积函数(MCF)图对于监测大量部署的可修系统的现场可靠性是有用的。它简单易懂,易于管理人员理解。然而,当系统人口随年龄异质性时,它是年龄混淆的。假设系统遵循众所周知的ldquathtubrdquo行为,与主要由新系统组成的种群相比,由较高比例的老化系统组成的种群在MCF图上的表现较差。因此,直接比较这两个群体可能是不公平的。本文阐述了几个简单的步骤,有助于在绘制MCF之前减轻这种年龄异质性问题。年龄调整后的MCF可以更公平地比较不同人群的维护性能。通过现场实际故障数据验证了该方法的适用性。案例研究表明,如果不考虑系统年龄组成的差异,可能会得出不同的结论,这可能会损害维护人员的士气。更糟糕的是,宝贵的维护资源可能会被输送到错误的位置。除了年龄,建议的方法可以很容易地扩展到调整其他系统属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An age-adjusted comparison of field failure data for repairable systems
The conventional calendar-based mean cumulative function (MCF) plot is useful in monitoring the field reliability of a population of repairable systems deployed in a large quantity. It is simple and easily understood by management. However, it is age-confounded when the system population is heterogeneous with age. Assuming that the systems follow the well-known ldquoBathtubrdquo behavior, the population which consists of a higher proportion of aged systems will perform badly on the MCF plot compared to another population made up of mainly newer systems. Hence, direct comparisons between the two populations may not be fair. This paper illustrates a few simple steps that aid in mitigating such age heterogeneity issue prior to plotting the MCF. The age-adjusted MCF allows a fairer comparison of maintenance performance between the populations. The applicability of the proposed approach is demonstrated using actual field failure data. The case study shows that if differences in system age compositions are not accounted for, different conclusions could be drawn which could be detrimental to the maintenance personnel morale. Worse still, precious maintenance resources might be channeled to the wrong location. Other than age, the proposed approach can be easily extended to adjust for other system attributes.
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