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On the use of hypothesis tests as statistical indexes for frequency response analysis of electric machinery

机译：关于使用假设检验作为统计指标进行电机频率响应分析的方法

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This work proposes a new statistical index, based on hypothesis tests, to be used on frequency response analysis (FRA) of electric machines. This index is, particularly, interesting on the detection of early failures (which appear as small deviations from the baseline spectrum), even when the measurements have high variability (such as the case of online measurements in rotating machines). The majority of the indexes proposed so far in the FRA literature only compares two spectra at a time and mix data from the measurements at different frequencies. The index proposed in this paper calculates one hypothesis test for each frequency (in order to assure randomness, independence and normality) in the spectra of several measurements (in order to take into account the variability on the measurements) and performs the normalized sum of the individual tests. Experimental results are presented on a synchronous generator (both offline and online) to validate the proposed index. (C) 2017 Elsevier B.V. All rights reserved.
机译：这项工作提出了一种基于假设检验的新统计指标，该指标将用于电机的频率响应分析（FRA）。该指标在早期故障的检测（与基线频谱的偏差很小）的检测中尤其令人感兴趣，即使测量值具有较高的可变性（例如在旋转机械中进行在线测量的情况）。迄今为止，FRA文献中提出的大多数指标仅一次比较两个频谱，并且将来自不同频率的测量数据混合在一起。本文提出的指标针对几种测量的频谱中的每个频率（以确保随机性，独立性和正态性）计算一个假设检验（以考虑测量的可变性），并执行标准化的总和。个别测试。在同步发电机（离线和在线）上展示了实验结果，以验证所提出的指标。 （C）2017 Elsevier B.V.保留所有权利。

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