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首页> 外文会议>2016 International Conference on Intelligent Control Power and Instrumentation >Characterization of stator turn to turn faults of induction motor using cross-correlation analysis based features
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Characterization of stator turn to turn faults of induction motor using cross-correlation analysis based features

机译：基于互相关分析的特征表征感应电动机定子匝间故障

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摘要

Induction Motor current analysis or IMCA-based condition monitoring attained so much importance in recent years for its technical and economic advantages over other techniques. Accurate identification of stator inter-turn faults for induction motors at the initial stage, i.e., minor turns-to-turn fault is of great importance. The objective of this work is to characterize stator turn to turn fault during a few-turn-short-circuit fault condition. Cross-correlograms of stator currents of healthy and different fault conditions have been judiciously used to extract a few significant features. An exclusive experimental test rig has been setup to emulate the fault and to obtain the stator current signatures. The whole analysis is based on these signatures only.
机译：感应电动机电流分析或基于IMCA的状态监视在近些年由于其相对于其他技术的技术和经济优势而变得非常重要。在初始阶段准确识别感应电动机的定子匝间故障，即较小的匝间故障非常重要。这项工作的目的是表征几匝短路故障条件下定子匝间的匝间故障。健康和不同故障条件下的定子电流的互相关图已被明智地用于提取一些重要特征。已经设置了专用的实验测试台来模拟故障并获得定子电流信号。整个分析仅基于这些签名。

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