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Stator faults typically have a significant share amongst the common type of faults in industrial three-phase induction (asynchronous) motors. This paper presents a motor current signature analysis (MCSA)-based diagnostics of the stator winding short circuit fault. This type of fault happens due to the destruction of the turn insulation, and can be very detrimental causing motor shutdown. Instead of traditional MCSA using the motor stator current, in this paper, analysis using the zero crossing time (ZCT) signal of the stator current is presented. The theoretical aspects of the stator short circuit detection are presented. Following that, a diagnostic algorithm utilizing the ZCT signals is proposed. Experiments are performed with real motors, healthy and with shorted stator windings. Frequency analysis of the ZCT signals from the experimental data substantiates the theoretical arguments with significant accuracy.  相似文献
2.
在使用ADE7758ARW计量芯片设计的三相三线多功能电能表中,由于ADE7758ARW芯片只能提供三元件的逆相序信息,而不能提供两元件逆相序信息的实际情况,本文介绍了通过计量芯片获取电压过零点(ZERO-CROSSING DETECTION)的信息,计算出不同线电压过零点的时间间隔,结合不同相序时电压过零点时间间隔的差异实现两元件三相三线电能表的逆相序判断.  相似文献
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