Multiple features extraction and selection for detection and classification of stator winding faults
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DOI: 10.1049/iet-epa.2017.0457
Abstract: In this study, a new effective approach for detection and classification of stator winding faults in induction motors is presented. The approach is based on current analysis. It uses multiple features extraction techniques, where Park… read more here.
Keywords: stator winding; multiple features; stator; winding faults ... See more keywords
Using Flux Linkage Difference Vector in Early Inter-Turn Short Circuit Detection for the Windings of Offshore Wind DFIGs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2021.3073007
Abstract: Winding faults are the most commonly occurring type of fault in offshore doubly-fed generator units. Such faults are difficult to detect and repair, and therefore higher fault identification accuracy is required. Most of the existing… read more here.
Keywords: flux linkage; short circuit; fault; winding faults ... See more keywords
Transformer Winding Faults Detection Based on Time Series Analysis
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DOI: 10.1109/tim.2021.3076835
Abstract: Monitoring of winding faults is of great significance for the assessment of the transformer maintenance status. In this study, the time series analysis is combined with frequency response analysis (FRA) for better interpretation and analysis… read more here.
Keywords: time series; test; series analysis; winding faults ... See more keywords
A Novel Hyperbolic Fuzzy Entropy Measure for Discrimination and Taxonomy of Transformer Winding Faults
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DOI: 10.1109/tim.2022.3212522
Abstract: During operation, power transformers are subjected to a variety of electrical and mechanical stresses, which can result in winding faults. The most common defects in transformers are axial displacement, radial deformation, and short circuits in… read more here.
Keywords: frequency; measure; transformer; winding faults ... See more keywords
Identification of Power Transformer Winding Fault Types by a Hierarchical Dimension Reduction Classifier
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DOI: 10.3390/en11092434
Abstract: Frequency response analysis (FRA) demonstrates significant advantages in the diagnosis of transformer winding faults. The instrument market desires intelligent diagnostic functions to ensure that the FRA technique is more practically useful. In this paper, a… read more here.
Keywords: dimension reduction; transformer winding; winding faults; hierarchical dimension ... See more keywords