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• W2083584242 abstract "In this paper, we introduce a novel fault detection and diagnosis method using a dynamic independent component analysis-based approach. We also present an innovative mechanism for detecting and diagnosing the faults. The proposed approach is able to accurately detect and isolate the root causes for each individual fault. The Tennessee Eastman challenge process is used to demonstrate the much improved performance of our proposed technique in comparison with other currently existing statistical monitoring and fault detection methods." @default.
• W2083584242 created "2016-06-24" @default.
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• W2083584242 date "2010-12-01" @default.
• W2083584242 modified "2023-09-26" @default.
• W2083584242 title "Dynamic independent component analysis approach for fault detection and diagnosis" @default.
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• W2083584242 doi "https://doi.org/10.1016/j.eswa.2010.06.101" @default.
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