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Probabilistic weighted voting model using multiple machine learning methods for fault detection and classification

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Fevzeddin Ülker, Ahmet Küçüker
Journal: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
COMPEL (2022) 41 (5): 1542–1565.
https://doi.org/10.1108/COMPEL-06-2021-0200
Published: 16 February 2022
... to ensure diversity. In this way, this study aims to improve the generalization capability of fault detection and classification scheme. Design/methodology/approach This study presents a probabilistic weighted voting model (PWVM) with multiple learning models for fault detection and classification...
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