8 Years Experience in Large-Scale Remote Partial Discharge Monitoring of HV Motors in an Oil and Gas Environment

2019 IEEE Petroleum and Chemical Industry Committee Conference (PCIC) Pub Date : 2019-09-01 DOI:10.1109/PCIC30934.2019.9074524

J. Franco, M. Richards, M. Seltzer-Grant

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Abstract

This paper presents key knowledge gained over eight years of remote on-line partial discharge monitoring high voltage electric motors in an onshore oil production and gas processing facility using signal analysis tools. A technique that is suited to electric motors in hazardous (classified) zones is remote monitoring. With remote partial discharge monitoring signals from a variety of sources superimpose resulting in a complex phase resolved partial discharge pattern. Advanced signal analysis tools are thus utilized to distinguish and trend the partial discharge signals. Topics are discussed around system deployment, from the selection of suitable sensors and pulse propagation paths to full automation of the data transfer. Case studies are presented where advanced analysis tools along with partial discharge cluster trending were combined for diagnosis of aging in-service process-critical high voltage electric motors operating at 10 kV. An infrastructure to transfer and analyze online partial discharge data from the site to remote locations is also described

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8年石油和天然气环境中高压电机的大规模远程局部放电监测经验

本文介绍了使用信号分析工具对陆上石油生产和天然气处理设施中的高压电动机进行远程在线局部放电监测的八年来所获得的关键知识。一种适用于危险(分类)区域的电动机的技术是远程监控。与远程局部放电监测信号的各种来源叠加，导致一个复杂的相位分辨局部放电模式。因此，利用先进的信号分析工具来区分和趋势局部放电信号。围绕系统部署的主题进行了讨论，从选择合适的传感器和脉冲传播路径到数据传输的完全自动化。在案例研究中，将先进的分析工具与局部放电簇趋势相结合，用于诊断运行在10kv的过程关键高压电动机的老化。还描述了一种将局部放电数据从现场传输和分析到远程位置的基础设施

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2019 IEEE Petroleum and Chemical Industry Committee Conference (PCIC)

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