Notice of RetractionFastICA-SVM fault diagnosis for batch process

An ensemble fault diagnosis approach based on fast independent component analysis and support vector machine (FastICA-SVM) for non-Gaussian complex process is presented. Firstly fast independent component analysis is used as a feature extraction step, and then classifier is constructed by SVM for fault diagnosis. The experimental results of benchmark of the fed-batch penicillin fermentation process indicate that FastICA-SVM method can diagnosis faults more efficient and has better performance than the SVM method.

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