基于二代小波变换的电机转子不平衡故障检测  

Fault Detection for Paroxysmal Rotor Unbalance of Motor Based on Second Generation Wavelet Transform

作　　者：范炳奎[1] 李颖晖[1] 柳艳丽[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《大电机技术》2010年第3期17-19,30,共4页Large Electric Machine and Hydraulic Turbine

基　　金：总装预研基金

摘　　要：为了快速准确地检测电机运行中突发性转子不平衡故障,本文在介绍第二代小波变换和电机运行中突发性转子不平衡故障特点的基础上对附有各种随机噪声的电机振动信号进行二代小波变换分析,对分解系数进行重构,提取故障特征。仿真结果表明:第二代小波变换是检测电机突发性转子不平衡故障的有效方法,能够滤除大部分随机噪声,准确及时地提取故障特征,并提高了检测的可信度。Based on introduction of second generation wavelet transform and characteristics of fault of paroxysmal rotor unbalance,this paper carries on second wavelet transform analysis on the vibration signal for the sake of quick and accurate detection of the fault,then reconstructs the decomposition coefficient and extracts the characteristics of the fault.The results of simulation show： the application of second generation wavelet transform to detection of the fault of paroxysmal rotor unbalance can remove the most parts of noises and accurately extract characteristics of fault signals,improving the incredibility of detection.

关 键 词：二代小波 突发性转子不平衡 故障检测 振动信号 

分 类 号：TM307[电气工程—电机]