Case stories of induction motors fault diagnosis based on current analysis

J. Antonino-Daviu, A. Quijano-López, V. Fuster-Roig, C. Nevot
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引用次数: 13

Abstract

This work presents several case studies related to condition monitoring of induction motors operating in a chemical plant. Analysis of the stator current is applied to diagnose several types of faults, especially rotor damages and mixed eccentricities. The considered current-based techniques include both the conventional method that relies on the analysis of the steady-state current (Motor Current Signature Analysis, MCSA, that will be employed as main tool), as well as recently developed methodologies based on the analysis of transient currents (Advanced Transient Current Signature Analysis, ATCSA, that will be used as complementary tool). The combination of both methods enables to reach a high reliability in the diagnostics, avoiding eventual false indications of a single method. The motors considered in the paper range from small-sized machines till large motors (rated up to several MW). Also, a diversity of operation conditions is considered, including diverse loading conditions as well as different operating options. The results show the powerfulness of current analysis for diagnosing a wide range of failures in asynchronous motors operating in petrochemical plants.
基于电流分析的异步电动机故障诊断实例
本文介绍了几个与化工厂感应电机状态监测相关的案例研究。对定子电流的分析可用于诊断多种类型的故障,特别是转子损伤和混合偏心。考虑的基于电流的技术包括依赖于稳态电流分析的传统方法(电机电流特征分析,MCSA,将被用作主要工具),以及最近开发的基于瞬态电流分析的方法(高级瞬态电流特征分析,ATCSA,将被用作补充工具)。两种方法的结合能够在诊断中达到高可靠性,避免单一方法的最终错误指示。本文考虑的电机范围从小型电机到大型电机(额定功率高达几兆瓦)。此外,还考虑了不同的运行条件,包括不同的负载条件和不同的运行选择。结果表明,电流分析对石油化工装置运行中的异步电动机的各种故障诊断具有强大的功能。
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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