双谱
边带
估计员
控制理论(社会学)
转子(电动)
调幅
感应电动机
信号(编程语言)
振幅
噪音(视频)
电子工程
光谱密度
工程类
计算机科学
频率调制
数学
物理
带宽(计算)
人工智能
电气工程
电信
统计
电压
控制(管理)
程序设计语言
图像(数学)
量子力学
无线电频率
作者
Fengshou Gu,T. Wang,Ahmed Alwodai,Xinshou Tian,Yimin Shao,Andrew Ball
标识
DOI:10.1016/j.ymssp.2014.05.017
摘要
Motor current signature analysis (MCSA) has been an effective way of monitoring electrical machines for many years. However, inadequate accuracy in diagnosing incipient broken rotor bars (BRB) has motivated many studies into improving this method. In this paper a modulation signal bispectrum (MSB) analysis is applied to motor currents from different broken bar cases and a new MSB based sideband estimator (MSB-SE) and sideband amplitude estimator are introduced for obtaining the amplitude at (1±2s)fs (s is the rotor slip and fs is the fundamental supply frequency) with high accuracy. As the MSB-SE has a good performance of noise suppression, the new estimator produces more accurate results in predicting the number of BRB, compared with conventional power spectrum analysis. Moreover, the paper has also developed an improved model for motor current signals under rotor fault conditions and an effective method to decouple the BRB current which interferes with that of speed oscillations associated with BRB. These provide theoretical supports for the new estimators and clarify the issues in using conventional bispectrum analysis.
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