Partial Discharges Monitoring for Electric Machines Diagnosis: A Review
Partial Discharges Monitoring for Electric Machines Diagnosis: A Review
复制标题
用于电机诊断的局部放电监测：回顾
DOI：
10.3390/en15217966
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发表时间：
2022
期刊：
影响因子：
3.2
通讯作者：
Mateus Giesbrecht
中科院分区：
文献类型：
--
作者：
Jonathan dos Santos Cruz;F. Fruett;Renato da Rocha Lopes;Fabio Luiz Takaki;C. A. Tambascia;Eduardo Rodrigues de Lima;Mateus Giesbrecht
旋转电机中局部放电（PD）的在线监测是机器预测的有用工具，因为与侵入式检查相比，它降低了成本，并且与相关问题相关。虽然这种监测方法已经开发了近50年，但过程自动化和信号处理技术的最新进展使学术和工业研究人员仍在研究改进。为了分析目前的情况下，PD监测，本文提出了一个文献综述的基础上的概念，PD在旋转机械，数据采集技术，国家的最先进的商业设备，以及最近的方法检测和模式识别的PD。文献中确定的挑战，激励更可靠和强大的局部放电监测系统的发展，并进行了讨论。
Online monitoring of Partial Discharges (PDs) in rotating electrical machines is an useful tool for machine prognosis, as it presents reduced costs compared to intrusive inspections and is associated with relevant problems. Although this monitoring method has been developed for almost 50 years, the recent advancements in processes automation and signal processing techniques allow improvements that are still being studied by academic and industrial researchers. To analyze the current context of PDs monitoring, this article presents a literature review based on concepts of PDs in rotating machines, data acquisition techniques, state-of-the art commercial equipment, and recent methodologies for detection and pattern recognition of PDs. The challenges identified in the literature that motivate the development of more reliable and robust PD monitoring systems are presented and discussed.