Condition Monitoring Based on Partial Discharge Diagnostics Using UHF Sensors: A Comprehensive State-of-the-Art Review

超高频 局部放电 计算机科学 可靠性工程 带宽(计算) 状态监测 电子工程 电气工程 工程类 电压 电信
作者
Bilal Habib,Omar Al Zaabi,N. Harid,Khalifa Al Hosani,Mohamed Alkhatib
出处
期刊:IEEE Transactions on Dielectrics and Electrical Insulation [Institute of Electrical and Electronics Engineers]
卷期号:31 (6): 2860-2873 被引量:16
标识
DOI:10.1109/tdei.2024.3409517
摘要

Power System components are susceptible to insulation failures due to electrical and mechanical stresses, extreme environmental and operating conditions, material aging, chemical degradation and poor maintenance practices. Partial Discharge monitoring is one of the most significant metrics for health assessment of high-voltage power equipment. There are both conventional and non-conventional techniques for detection and measurement of partial discharges, and lately of the latter, the UHF method has been the focal point in non-conventional techniques. In this paper, the advantages of the UHF method are highlighted and a comprehensive review of the various UHF sensors that have been proposed in the literature is presented. The review aims at not only categorizing and describing the sensors, but more importantly examining their suitability for use in industrial applications as PD sensors for diagnosis purposes. Moreover, a thorough comparative analysis of the performance of different UHF sensors is provided using physical size, bandwidth, radiation pattern, design and optimization parameters, PD test setup and the intended application. The relative merits and limitations of each type of sensor are highlighted and a gap analysis is made. The critical area of UHF calibration has also been discussed in order to emphasis the requirement of comparable, repeatable and credible UHF measurements. Finally, considerations regarding future trends and possible topics for exploration are summarised. The review offers a valuable tool for researchers willing to acquire an overview of the state-of-the art on partial discharge monitoring using the UHF method.
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