摘要
鼠笼电机起动暂态破坏了电机电流信号特征分析(MCSA)方法的使用条件,导致该方法无法诊断出起动运行状态下的转子断条故障。针对这一问题,提出鼠笼电机早期转子断条故障Wigner-Ville分布诊断方法。首先,利用离散小波变换对三相定子电流Park矢量模平方信号预处理,借以消除谐波干扰和交叉项影响,然后通过Wigner-Ville分布描述故障特征谐波的能量-滑差变化趋势,并结合其能量测度判断转子断条故障发生与否。在3 k W电机实验台上对所提出的方法进行实验验证,实验结果证实了所提方法的有效性。
Motor current signature analysis （MCSA） fails to detect broken rotor bars in an induction motor,due to the fact that assumption of steady-state becomes unavailable during start-up transient.The diagnosis techniques based on Wigner-Ville distribution （WVD） is proposed to resolve the problem.Firstly,preprocessing for square phase-3 stator current Park＇s vector modulus signal was completed by discrete wavelet transform （DWT） for the purpose of eliminating harmonic disturbance and restraining cross-term which prevents diagnosis effectiveness.Then,WVD was conducted on the obtained square Park＇s vector modulus signal.And combining with the evolution of energy-slip curve characteristic pattern and the WVD energy measurement during start-up transient,it is judged if the broken rotor bar defect occurs.The experiment verification was performed on a 3 kW motor experiment test bench.Test results of induction machines operating during start-up transient show the ability of the presented method to detect broken rotor bars.
作者
贾朱植
祝洪宇
杨理践
张吉龙
王国庆
JIAZhu- zhi1,2,ZHU Hong- yu3, YANG Li- jian2 , ZHANG Ji- long4 , WANG Guo-qing 2(1. Institute of Applied Technology,University of Science and Technology Liaoning,Anshan 114051, China;2. School of Information Science and Engineering,Shenyang University of Technology,Shenyang 110870, China;3. School of Electronic and Information Engineering,University of Science and Technology Liaoning Anshan 114051,China;4. Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016, Chin)
出处
《电机与控制学报》
EI
CSCD
北大核心
2018年第7期69-77,共9页
Electric Machines and Control
基金
中国科学院重点部署项目(KGZD-EW-302)
辽宁省自然科学基金(2015010140-301)
