Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines

Sang Bin Lee, D. Hyun, Tae-June Kang, C. Yang, Sungsik Shin, Heonyoung Kim, Sungbong Park, Tae-Sik Kong, Hee-Dong Kim
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引用次数: 58

Abstract

Motor current signature analysis (MCSA) has become an essential part of the preventive maintenance program for monitoring the condition of the rotor cage in medium voltage induction motors in the pulp and paper industry. However, many cases of false indications due to interference from the motor or load have been reported. False indications can result in unnecessary inspection and outage costs (false positives) or major repair/replacement costs and loss of production (false negatives). The objective of this paper is to present the potential root causes of false indications, and provide guidelines on how commercially available off-line and on-line tests can be applied for identifying false indications from a field engineers' perspective. Case studies of false MCSA indications and results of alternative commercial tests for improving the reliability of the diagnosis are provided through measurements on 6.6 kV and laboratory motor samples. Finally, new test methods under research and development for reliable rotor fault detection are summarized and unresolved problems are listed. This paper is expected to help field maintenance engineers prevent unnecessary motor inspection and forced outages, and guide researchers target future research towards industrial needs.
中压感应电机在线MCSA错误转子故障指示的识别
在制浆造纸工业中,电机电流特征分析(MCSA)已成为监测中压异步电机转子保持架状态的预防性维护程序的重要组成部分。然而,由于电机或负载的干扰,许多情况下的错误指示已被报道。错误的指示可能导致不必要的检查和停机成本(误报)或重大维修/更换成本和生产损失(误报)。本文的目的是提出错误指示的潜在根本原因,并从现场工程师的角度提供关于如何应用商业上可用的离线和在线测试来识别错误指示的指南。通过对6.6 kV和实验室电机样品的测量,提供了虚假MCSA适应症的案例研究和提高诊断可靠性的替代商业测试结果。最后,总结了目前正在研究和开发的用于转子可靠故障检测的新测试方法,并列举了尚未解决的问题。该论文有望帮助现场维护工程师防止不必要的电机检查和强制停机,并指导研究人员针对工业需求进行未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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