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Condition Monitoring of Blade in Turbomachinery: A Review

机译:透平机械叶片状态监测研究综述

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Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the health condition of blades in turbomachinery. In this paper, blade faults are categorised into five types in accordance with their nature and characteristics, namely, blade rubbing, blade fatigue failure, blade deformations (twisting, creeping, corrosion, and erosion), blade fouling, and loose blade. Reviews on characteristics and the specific diagnostic methods to detect each type of blade faults are also presented. This paper also aims to provide a reference in selecting the most suitable approaches to monitor the health condition of blades in turbomachinery.
机译:叶片故障和叶片故障被列为涡轮机械故障的最常见原因。本文概述了状态监测技术和最合适的信号分析方法,以检测和诊断涡轮机械叶片的健康状况。本文根据叶片的性质和特点将叶片故障分为五类,即叶片摩擦,叶片疲劳失效,叶片变形(扭曲,蠕变,腐蚀和腐蚀),叶片结垢和叶片松动。还介绍了特性和检测每种类型叶片故障的特定诊断方法的综述。本文还旨在为选择最合适的方法来监测涡轮机械叶片的健康状况提供参考。

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