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Analysis of failure prediction methods

机译:故障预测方法分析

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This paper describes the effects of constant and varied maintenance strategies through an example of artificially generated failure data. During the constant maintenance strategy two main cases are distinguished. In the first example constant number of failures while in the second example specified percentage of failures are prevented with maintenance every year. Through the case study of the varied maintenance strategy growing and decreasing maintenance methods are examined. Thereafter the CROW-AMSAA model is presented through an illustrative example, and compared with the most popular Weibull distribution method as for the advantages and disadvantages of each technique. In the final section of the paper a set of equipment, where there is a high percentage of intact items in the system, is examined with the help of right censoring.
机译:本文以人工生成的故障数据为例,介绍了不断变化的维护策略的影响。在持续维护策略中,区分了两种主要情况。在第一个示例中,故障数量恒定,而在第二个示例中,每年都通过维护来防止特定百分比的故障。通过对各种维护策略的案例研究,研究了增长和减少的维护方法。此后,通过一个示例性的例子介绍了CROW-AMSAA模型,并将其与最流行的Weibull分布方法进行了比较,以了解每种技术的优缺点。在本文的最后一部分中,将通过正确的检查来检查一组设备,其中系统中完整项目的百分比很高。

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