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• W2158331489 abstract "In this paper, we briefly address the application of the standard principal component analysis (PCA) technique to fault detection and identification. Based on an analysis of the existing test statistic, we propose a new test statistic, which is similar to the Hawkin's T <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2h</sup> statistic but without the numerical drawback. In comparison with the SPE index, the threshold setting associated with the new statistic is computationally simpler. Our further study is dedicated to the analysis of fault sensitivity. We consider the off-set and scaling faults, and evaluate the test statistic by viewing its sensitivity to the faults. Our final study focuses on identifying off-set and scaling faults. To this end, two algorithms are proposed. This paper also includes some critical remarks on the application of the PCA technique to fault diagnosis." @default.
• W2158331489 created "2016-06-24" @default.
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• W2158331489 date "2010-04-01" @default.
• W2158331489 modified "2023-09-29" @default.
• W2158331489 title "On the application of PCA technique to fault diagnosis" @default.
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• W2158331489 doi "https://doi.org/10.1016/s1007-0214(10)70043-2" @default.
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