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      An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors

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          A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

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            Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

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              Weighted extreme learning machine for imbalance learning

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                Author and article information

                Journal
                IEEE Transactions on Industrial Informatics
                IEEE Trans. Ind. Inf.
                Institute of Electrical and Electronics Engineers (IEEE)
                1551-3203
                1941-0050
                December 2017
                December 2017
                : 13
                : 6
                : 2758-2769
                Article
                10.1109/TII.2017.2755064
                8e5c6797-0faa-477c-b207-af4aff19696e
                © 2017
                History

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