Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

Research article (IET Generation Transmission & Distribution, 2016) · cited 85× · AI/ML
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Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

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Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-high-impedance-faults-using-current-transformers-for-sensing-and-identification-based-on-features-extracted
MLA “Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-high-impedance-faults-using-current-transformers-for-sensing-and-identification-based-on-features-extracted.
BibTeX @misc{4ortxyz_detection-of-high-impedance-faults-using-current-transformers-for-sensing-and-identification-based-on-features-extracted_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-high-impedance-faults-using-current-transformers-for-sensing-and-identification-based-on-features-extracted}, note = {Accessed: 2026-05-24}}
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