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Wavelet packet decomposition-based fault diagnosis scheme for SRM drives with a single current sensor

机译:基于小波包分解的单电流传感器SRM驱动器故障诊断方案

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摘要

Power converters are a key, but vulnerable component in switched reluctance motor (SRM) drives. In this paper, a new fault diagnosis scheme for SRM converters is proposed based on the wavelet packet decomposition (WPD) with a dc-link current sensor. Open- and short-circuit faults of the power switches in an asymmetrical half-bridge converter are analyzed in details. In order to obtain the fault signature from the phase currents, two pulse-width modulation signals with phase shift are injected into the lower-switches of the converter to extract the excitation current, and the WPD algorithm is then applied to the detected currents for fault diagnosis. Moreover, a discrete degree of the wavelet packet node energy is chosen as the fault coefficient. The converter faults can be diagnosed and located directly by determining the changes in the discrete degree from the detected currents. The proposed scheme requires only one current sensor in the dc link, while conventional methods need one sensor for each phase or additional detection circuits. The experimental results on a 750-W three-phase SRM are presented to confirm the effectiveness of the proposed fault diagnosis scheme.
机译:功率转换器是开关磁阻电机(SRM)驱动器中的关键但易受攻击的组件。本文提出了一种基于小波包分解(WPD)和直流母线电流传感器的SRM变频器故障诊断新方案。详细分析了非对称半桥转换器中电源开关的开路和短路故障。为了从相电流中获取故障特征,将两个具有相移的脉宽调制信号注入转换器的下部开关中以提取励磁电流,然后将WPD算法应用于检测到的故障电流诊断。此外,选择离散程度的小波包节点能量作为故障系数。通过从检测到的电流中确定离散度的变化,可以直接诊断并定位转换器故障。所提出的方案在直流链路中仅需要一个电流传感器,而传统方法对于每一相或额外的检测电路都需要一个传感器。提出了在750W三相SRM上的实验结果,以确认所提出的故障诊断方案的有效性。

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