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快速独立分量分析方法在感应电动机故障检测中的应用 被引量:2

Application of fast independent component analysis in fault detection of induction motors
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摘要 以检测到的交流感应电动机定子电流为实验数据,对定子正常和故障电流信号进行分析和比较,将基于快速独立分量分析的方法用于提取相应故障信号的特征点,进而对感应电劝机的故障进行检测和诊断.实验结果表明,将快速独立分量分析方法应用于感应电动机故障检测是可行的. The stator currents of AC induction motors are measured and the stator currents obtained from normal motors and faulty motors are analyzed and compared. The technique of fast independent component analysis (Fast ICA) is used for extracting the dominating features from the measured signals to diagnose the fault of induction motors. The experimental results demonstrate that FastICA method can be well applicable for detecting fault of induction motors.
出处 《天津工业大学学报》 CAS 北大核心 2009年第4期64-67,共4页 Journal of Tiangong University
基金 国家自然科学基金项目(60702037) 中国博士后科学基金项目(2005037529) 天津理工大学博士启动金
关键词 故障诊断 特征提取 快速独立分量分析 fault diagnosis feature extraction FastICA
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