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Reducing maintenance costs through predictive fault detection

机译:通过预测性故障检测降低维护成本

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摘要

CBM is a maintenance approach that has been utilized for over twenty years. With the vast amounts of data collected in industrial organizations today, the key issue becomes determining what data to analyze, when and how. CBM can be implemented with relative ease using some of the latest technology which can now be used online, tracking, recording and analyzing failure signatures. The continual evaluation of failure signatures versus the current state provides the earliest possible notifications to the users of impending failures. The result is simple: reduced downtime, eliminated cascade damage and a decrease in maintenance costs. A successfully implemented CBM strategy should provide a ROI in six to twelve months and increased plant availability and reliability over the long term.
机译:CBM是一种已使用了二十多年的维护方法。随着当今工业组织中收集的大量数据,关键问题变成确定要分析哪些数据,何时以及如何进行分析。使用某些最新技术可以相对轻松地实施CBM,这些技术现在可以在线使用,跟踪,记录和分析故障特征。相对于当前状态对故障签名的持续评估会为用户即将发生的故障提供最早的通知。结果很简单:减少停机时间,消除级联损坏,并降低维护成本。成功实施的煤层气策略应在六到十二个月内提供投资回报,并从长期来看提高工厂的可用性和可靠性。

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