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Fault classification of the rolling bearing based on minimax entropy domain adaption augmented with signal generation algorithm

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Rolling bearing faults have been capturing substantial research attention as they are the root causes of malfunctions in mechatronics systems than any other factors. The detection of rolling bearing faults in the early stage is therefore a mandatory requirement demanded by reliable industrial plants.

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Nội dung Text: Fault classification of the rolling bearing based on minimax entropy domain adaption augmented with signal generation algorithm

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