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Development of a degradation index for machinery condition monitoring using the fictitious frequency response function and its application to a entrifugal compressor

机译:利用虚拟频率响应函数开发用于机械状态监测的退化指标及其在工业压缩机中的应用

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摘要

Recently, many sophisticated machinery diagnosis techniques have been developed and incorporated to the condition-based maintenance (CBM) methodrnfor cost effective and reliable operation of machinery. However, many companies are still reluctant to change their maintenance strategy completely fromrnthe traditional time-based maintenance (TBM) method to the CBM method due to their conservative approach. Instead, they often want to reduce thernmaintenance cost by increasing the time between overhaul (TBO) provided that a machine under inspection has not been degraded too much. In order tornmeet this need, in this paper, a degradation index is suggested as a measure to evaluate how much a machine has been degraded since its last overhaulrnservice. The proposed degradation index is based on the fictitious frequency response function method. It is simple to interpret, and has a clear physicalrnmeaning. It is applied to an integrally geared centrifugal compressor and validated its usefulness. The results show that the suggested degradation index canrnbe used as a good complement to both the TBM and CBM methods.
机译:近来,已经开发了许多复杂的机械诊断技术,并将其结合到基于状态的维护(CBM)方法中,以实现经济高效且可靠的机械运行。但是,由于保守的方法,许多公司仍然不愿意将其维护策略从传统的基于时间的维护(TBM)方式完全更改为CBM方法。相反,他们通常希望通过增加大修间隔(TBO)的时间来减少维护成本,前提是所检查的机器的退化程度不会太大。为了满足这种需求,在本文中,建议使用降级指数来评估自从上次大修服务以来机器已降级多少。拟议的降级指标基于虚拟频率响应函数法。它易于解释,并且具有明确的物理意义。它被应用于整体齿轮式离心压缩机,并验证了其实用性。结果表明,建议的降解指数可以作为TBM和CBM方法的良好补充。

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