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基于小波包的无刷直流电机匝间短路故障特征提取 被引量:6

Feature Extraction of BLDC Inter-turn Short Circuit Faults Based on Wavelet Packet
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摘要 通过分析无刷直流电机定子绕组匝间短路故障原理,建立其数学模型。利用小波变换的能量与原始信号的能量之间存在着等价关系及小波包分析良好的全频带分解特性,将匝间短路故障信号进行小波包分解,计算出各频带所占能量,进而获取能量分布形式的早期匝间短路故障特征。仿真结果表明此种方法简洁有效。 The mathematical model of brushless DC motor is established through the analysis of the fault principle of stator windings. For the advantage of the full-band characteristics decomposition of wavelet analysis and by the use of the equivalent energy relationship between wavelet transform and the original signal, inter-turn short-circuit signal is decomposed by wavelet packet, the energy of every band are calculated, and then early feature of inter-turn short-circuit is obtained in the form of energy distributions. The effectiveness of the proposed method is validated by simulation results.
出处 《大电机技术》 北大核心 2009年第4期20-23,共4页 Large Electric Machine and Hydraulic Turbine
关键词 小波包 无刷直流电机 匝间短路 特征提取 wavelet packet BLDC inter-turn short circuit feature extraction
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