Talhaoui Hicham, Menacer Arezki, Kessal Abdelhalim, Kechida Ridha
LGEB Laboratory, University of Biskra, Algeria; University of Bordj Bou Arreridj, Algeria.
LGEB Laboratory, University of Biskra, Algeria.
ISA Trans. 2014 Sep;53(5):1639-49. doi: 10.1016/j.isatra.2014.06.003. Epub 2014 Jul 5.
This paper presents new techniques to evaluate faults in case of broken rotor bars of induction motors. Procedures are applied with closed-loop control. Electrical and mechanical variables are treated using fast Fourier transform (FFT), and discrete wavelet transform (DWT) at start-up and steady state. The wavelet transform has proven to be an excellent mathematical tool for the detection of the faults particularly broken rotor bars type. As a performance, DWT can provide a local representation of the non-stationary current signals for the healthy machine and with fault. For sensorless control, a Luenberger observer is applied; the estimation rotor speed is analyzed; the effect of the faults in the speed pulsation is compensated; a quadratic current appears and used for fault detection.
本文提出了评估感应电动机转子断条情况下故障的新技术。这些方法应用于闭环控制。在启动和稳态时，使用快速傅里叶变换（FFT）和离散小波变换（DWT）来处理电气和机械变量。小波变换已被证明是检测故障特别是转子断条类型故障的优秀数学工具。作为一种性能，DWT可以为健康电机和有故障的电机提供非平稳电流信号的局部表示。对于无传感器控制，应用了Luenberger观测器；分析了估计的转子速度；补偿了故障对速度脉动的影响；出现二次电流并用于故障检测。
