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- W2022668627 abstract "In this paper, an improved Mahalanobis-Taguchi system based fault diagnosis scheme is presented, vibration signals are used as the signal resource. Mahalanobis-Taguchi System is utilized for fault clustering method in order to classify faults into different categories, Lipschitz Exponents are used to extract characteristic vectors. Firstly, the procedure of implementing Mahalanobis-Taguchi System is introduced, a multi-class faults classification method is proposed based-on improved MTS. Secondly, the mathematical characterization of singularities with Lipschitz exponents is explained, and characteristic vector is obtained based-on Lipschitz exponents. Lastly, the method is validated by rotating machinery seeded-fault-test vibration signals, results showed that this method performed well." @default.
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- W2022668627 date "2011-06-01" @default.
- W2022668627 modified "2023-09-23" @default.
- W2022668627 title "A method of multi-class faults classification based-on Mahalanobis-Taguchi system using vibration signals" @default.
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- W2022668627 doi "https://doi.org/10.1109/icrms.2011.5979414" @default.
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