Winding deformation classification in a power transformer based on the time-frequency image of frequency response analysis using Hilbert-Huang transform and evidence theory
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Title
Winding deformation classification in a power transformer based on the time-frequency image of frequency response analysis using Hilbert-Huang transform and evidence theory
Authors
Keywords
FRA, Interpretation, Evidence theory, DIP, FEM, HHT
Journal
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume 129, Issue -, Pages 106854
Publisher
Elsevier BV
Online
2021-02-21
DOI
10.1016/j.ijepes.2021.106854
References
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Related references
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- (2019) Xiaozhen Zhao et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Experimental Evaluation of Transformer Internal Fault Detection Based on V–I Characteristics
- (2019) Xiaozhen Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Estimating Power Transformer High Frequency Model Parameters Using Frequency Response Analysis
- (2019) A. Abu-Siada et al. IEEE TRANSACTIONS ON POWER DELIVERY
- Frequency response analysis (FRA) of transformers as a tool for fault detection and location: A review
- (2018) Reza Khalili Senobari et al. ELECTRIC POWER SYSTEMS RESEARCH
- Toward reliable interpretation of power transformer sweep frequency impedance signatures: experimental analysis
- (2018) Xiaozhen Zhao et al. IEEE ELECTRICAL INSULATION MAGAZINE
- Detecting incipient radial deformations of power transformer windings using polar plot and digital image processing
- (2018) Ahmed Abu-Siada et al. IET Science Measurement & Technology
- Determination and localisation of turn-to-turn fault in transformer winding using frequency response analysis
- (2018) Jafar Nosratian Ahour et al. IET Science Measurement & Technology
- Air Core Transformer Winding Disk Deformation: A Precise Study on Mutual Inductance Variation and Its Influence on Frequency Response Spectrum
- (2018) Mehdi Bagheri et al. IEEE Access
- Analysis of Winding Vibration Characteristics of Power Transformers Based on the Finite-Element Method
- (2018) Xiaomu Duan et al. Energies
- Recognition technology of winding deformation based on principal components of transfer function characteristics and artificial neural network
- (2017) Yongfen Luo et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Application of digital image processing to detect transformer bushing faults and oil degradation using FRA polar plot signature
- (2017) O. Aljohani et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Application of Digital Image Processing to Detect Short-Circuit Turns in Power Transformers Using Frequency Response Analysis
- (2016) Omar Aljohani et al. IEEE Transactions on Industrial Informatics
- Evidence theory-based identification of aging for capacitive voltage transformers
- (2016) Narges Daryani et al. IET Generation Transmission & Distribution
- Improving the numerical indices proposed for the FRA interpretation by including the phase response
- (2016) Mohammad Hamed Samimi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Modeling Power Transformers to Support the Interpretation of Frequency-Response Analysis
- (2011) Steven D. Mitchell et al. IEEE TRANSACTIONS ON POWER DELIVERY
- Experimental and theoretical investigation of disc space variation in real high-voltage windings using transfer function method
- (2010) E. Rahimpour et al. IET Electric Power Applications
- Modelling of winding failures identification using the frequency response analysis (FRA) method
- (2009) Marek Florkowski et al. ELECTRIC POWER SYSTEMS RESEARCH
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