An Adaptive Denoising Algorithm for Online Condition Monitoring of High-Voltage Power Equipment-Reference-Cited by-同舟云学术

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An Adaptive Denoising Algorithm for Online Condition Monitoring of High-Voltage Power Equipment

Published:2020-06-14 Issue:9-10 Volume:48 Page:1036-1048
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Hussain Amjad¹,Ahmed Zeeshan²,Shafiq Muhammad³,Zaher Ashraf¹,Rashid Zeeshan⁴,Lehtonen Matti⁵

Affiliation:

1. School of Engineering & Applied Sciences, American University of Kuwait, Safat, Kuwait

2. Department of Electrical & Computer Engineering, Mississippi State University, Starkville, Mississippi, USA

3. Department of Electrical Engineering & Energy Technology, University of Vaasa, Vaasa, Finland

4. Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

5. School of Electrical Engineering, Aalto University, Espoo, Finland

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2020.1825554

Reference19 articles.

1. A Review of Online Partial Discharge Measurement of Large Generators

2. Signal denoising techniques for partial discharge measurements

3. Preemptive Arc Fault Detection Techniques in Switchgear—Part III: From the Laboratory to Practical Installation

4. Preemptive Arc Fault Detection Techniques in Switchgear and Controlgear

5. Wavelet-based denoising of partial discharge signals buried in excessive noise and interference

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2. A search for suitable mother wavelet in discrete wavelet transform based analysis of acoustic emission partial discharge signals;Serbian Journal of Electrical Engineering;2024

3. Indirect grid power factor tuning with PV-STATCOM using shift mode phase locking strategy;Electrical Engineering;2023-01-26

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