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作 者:王臻[1] 李承[1] 张舜钦 陈旭[1] 李惠章[1] 王蕾[1]
机构地区:[1]华中科技大学电气与电子工程学院,湖北武汉430074 [2]山东电力工程咨询院有限公司,山东济南250013
出 处:《电机与控制应用》2015年第10期55-58,79,共5页Electric machines & control application
摘 要:针对当前电机故障诊断技术中,转子断条故障频率易被基波淹没,硬件成本高等缺点,提出了一种基于空间旋转变换的故障诊断技术,并分别推导出两种断条故障的诊断判据。判据1是对采集的单相定子电流进行正同步旋转变换,将特征故障频率(1±2s)f1转移到2sf1,避免基频成分的影响。判据2是通过若干次旋转变换,将定子电流中的基频成分剔除,而故障成分(1±2s)f1得以完整保留。通过电机试验表明:两种提取特征故障频率的方法,都可有效地避免故障频率被基波成分的影响,达到诊断转子断条的目的。In the present fault detection approach in asynchronous motors, the fault characteristic frequency of broken rotor bars is easily drown by the fundamental frequency, and hardware overhead is high. For solving these problems, a novel method based on space rotating transform( SRT) was proposed. Meanwhile, two kind of diagnostic criteria about broken bars were derived by using SRT. For one thing, characteristic frequencies 2sf1 was obtained from (1 ± 2s) f1 via positive rotation transform, which avoids the influence of fundamental frequency. For another thing, utilizing several rotating transform, the fundamental component in stator current was eliminated, and characteristic component (1 ± 2s)f1 was totally retained. Finally, experimental verification indicated that two methods of extracting fault characteristic frequency were both sufficient to avert the influence of fundamental frequency and demonstrate the effectiveness of the proposed method.
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