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[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal E-ISSN 3139-8138 Since 2024
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Original Article

Intelligent Classification of Power Quality Disturbances Using Fuzzy Logic

  • Paper ID 12
  • Volume 1, Issue 3
  • Pages: 01-04
  • Published Online: September-December 2024
  • 324 Views
Open Access Peer Reviewed

Authors

  • Majumder Rikta1
  • Datta Subrata2
  • Chatterjee Satabdi3

1 2 UG Students, Department of Electrical and Electronics Engineering, Kanad Institute of Engineering and Management, West Bengal, India. 3 Professor, Department of Electrical and Electronics Engineering, Kanad Institute of Engineering and Management, West Bengal, India.

Article Information

DOI
No Doi
Published Online
September-December 2024
Pages
01-04
Article Type
Original Article
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References

1. Bouhali R, Tadjine K, Bendjama H, Saadi MC (2018) Fault diagnosis of bladed disc using wavelet transform and ensemble empirical mode
decomposition. Aust J Mech Eng 16(2):1–11
2. Dehghani MJ (2009) Comparison of S-transform and wavelet transform in power quality analysis. Int J Electr Comput Eng 3(2):395–398
3. Hossain E, Rida M, Sanjeevai kumar P, Salim AY, Khan I (2018) Analysis and mitigation of power quality issues in distributed generation
systems using custom power devices. IEEE Access 6:16816–16833
4. Manikandan MS, Samantaray SR, Kamwa I (2014) Detection and classification of power quality disturbances using sparse signal
decomposition on hybrid dictionaries. IEEE Trans Instrum Meas 64:27–38
5. Ray P, Budumuru GK, Mohanty BK (2018) A comprehensive review on soft computing and signal processing techniques in feature extraction
and classification of power quality problems. J Renew Sustain Energy 10(2):025102
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