摘要
提出了一种利用定子解析导纳辨识感应电机转子断条故障、偏心故障以及复合故障的方法。利用Hilbert变换相移作用获得解析电流和解析电压从而构造解析导纳,并从中提取特征故障频率。为了最大限度地减少硬件开销,利用迭代Prony算法,精确地求出基波参数,构造解析电压。理论和实验结果表明,所提方法可有效在线识别感应电机单一故障和复合故障。
The stator analytical admittance is proposed to identify the broken bar fault,eccentricity fault and mixed faults of inductor generator rotor. The phase shift function of Hilbert transform is applied to obtain the analytical voltage and current for constructing the analytical admittance,from which,the fault characteristic frequency is extracted. For minimizing hardware cost,the iterative Prony algorithm is adopted to accurately obtain the fundamental parameters and construct the analytical voltage. Theoretical analysis and experimental results show that the proposed method can online identify single or mixed faults of inductor generator effectively.
出处
《电力自动化设备》
EI
CSCD
北大核心
2016年第8期170-175,共6页
Electric Power Automation Equipment
关键词
电机
HILBERT变换
解析导纳
故障特征频率
复合故障
迭代Prony算法
electric generators
Hilbert transform
analytical admittance
fault characteristic frequency
mixedfaults
iterative Prony algorithm
