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Experimental and theoretical application of fault identification measures of accuracy in rotating machine diagnostics

机译:故障识别措施精度在旋转机械诊断中的实验和理论应用

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Model-based diagnostic techniques can be used successfully in the health analysis of rotormachinery. Unfortunately, a poor accuracy of the model of the fully assembled machine, as well as errors in the evaluation of the experimental vibrations caused only by the impending fault, can affect the accuracy of fault identifications. This can make difficult to identify the type of the actual fault as well as to evaluate its severity and its position. This paper shows some methods that have been developed to measure the accuracy of the results obtained with model-based techniques aimed to identify faults in rotating machines. The testing of the capabilities of these methods is carried out using both machine response simulated with mathematical models and experimental data on a real machine.
机译:基于模型的诊断技术可以成功地用于转子机械的健康分析。不幸的是,完全组装的机器的模型的较差的准确性以及仅由即将发生的故障引起的对实验振动的评估误差会影响故障识别的准确性。这可能使得难以识别实际故障的类型以及评估其严重性和位置。本文显示了一些已开发出来的方法,这些方法可以用来测量基于模型的技术的结果准确性,这些技术旨在识别旋转机械中的故障。使用数学模型模拟的机器响应和实际机器上的实验数据对这些方法的功能进行测试。

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