An Adaptive Denoising Algorithm for Online Condition Monitoring of High-Voltage Power Equipment
Partial Discharge (PD) diagnostic is an effective tool for condition monitoring of the high voltage equipment that provides an updated status of the dielectric insulation of the components. Reliability of the diagnostics depends on the quality of the PD measurement techniques and the processing of t...
Saved in:
| Main Author: | Hussain, Ghulam (author) |
|---|---|
| Other Authors: | Ahmed, Zeeshan (author), Shafiq, Muhammad (author), Lehtonen, Matti (author), Rashid, Zeeshan (author), Zaher, Ashraf (author) |
| Published: |
2020
|
| Online Access: | https://dspace.auk.edu.kw/handle/11675/8229 https://www.tandfonline.com/doi/abs/10.1080/15325008.2020.1825554 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review on Partial Discharge Diagnostic Techniques for High Voltage Equipment in Power Systems
by: Hassan, Waqar
Published: (2023) -
Indirect Adaptive Polynomial Wavelet-Based Neuro-Fuzzy Controller for STATCOM-Equipped Power Systems
by: Farman Ullah Jan (22278835)
Published: (2025) -
Comparison of Machine Learning Algorithms for Classification of Partial Discharge Signals in Medium Voltage Components
by: Hussain, Ghulam
Published: (2021) -
Adaptive false discovery rate for wavelet denoising of pavement continuous deflection measurements
by: Katicha, Samer W.
Published: (2016) -
An adaptive voltage control compensator for converters in DC microgrids under fault conditions
by: Meysam, Yadegar
Published: (2024)