Study on application of spectral analysis of instantaneous power to fault diagnosis of traction motor rotor

Transcript

1 ELECTRI C MACHINES AND CONTROL Vol. 16 No. 10 Oct ± s f 1 sf 1 TP 06. A 7-449X Study on application of spectral analysis of instantaneous power to fault diagnosis of traction motor rotor YANG Tong-guang JIANG Xin-hua FU Qiang College of Information Science and Engineering Central South University Changsha 48 China Abstract A method for the rotor fault diagnosis was proposed based on the instantaneous power of the network side to resolve the problem which fault characteristic frequency drowned easily by base wave frequency. When traction induction motor broken bar fault occur in the variable frequency drive system the fault characteristic frequency components 1 ± s f 1 propagated through converter to inverter side network side. It was found that the network side current signal and the stator current signal had the same problem which fault characteristic frequency drowned easily by base wave frequency. The instantaneous power of the network side spectrum was selected and analyzed the rotor broken bar fault characteristic frequency convert sf 1 spectral component was made the base wave frequency effect was eliminated the characteristic frequency was highlighted and the hardware structure for requiring only one phase current was simplified. Experimental results showed that the method can effectively diagnose the rotor fault. Key words AC variable frequency speed-regulation broken bar of rotor instantaneous power fault diagnosis spectral analysis AA11Z17 010FJ058 11C

2 % 1 1 ± s f 0 1 i' a = I m cos w 0 t - φ + I bp cos 1 + s w 0 t φ bp + I bn cos 1 - s w 0 t - φ bn 1 motor current signal analysis MCSA i' b = I m cos( w 0 t - φ - π ) + I bp cos 1 + s w 0 t - φ bp - π + 1 ± s f 1 I bn cos 1 - s w 0 t - φ bn - π s i' c = I m cos( w 0 t - φ + π ) + I 5 Park bp cos 1 + s w 0 t - φ bp + π + I bn cos 1 - s w 0 t - φ bn + π Park Park s I m I bp I bn φ φ bp φ bn 1 + s f s f 0 sf 1 4sf Hilbert 8 Hilbert SPWM 9 11 s 1 s s s A s B s C i' d = s A i' a + s B i' b + s C i' c 4 i' a i' b i' c 1 A B C i d i d 14 + e b i b U d e c i c PWM Fig. 1 PWM VSI-fed adjustable speed drive SPWM f 16 0 f c PWM s A = 1 + M cos w 0t + m = 1 n = 1 mπ J n ( m π M ) sin sf 1 [ m + n π ] cos mw ct + nw 0 t 5 s B = 1 + M cos ( w 0t - π ) + m =1 n =1 mπ J n ( m π M ) e a i a i cd i a i b i c M

3 10 97 s C sin[ m + n π ] = 1 + M cos w 0t + π + [ ( ) ] cos mw ct + n w 0 t - π 6 ( ) m =1 n =1 mπ J n ( m π ) [ ] [ ( ) ] M 1 ~ 5 ~ 7 p t = 9M 4 U mi m cosφ cosθ 1 + cos w 1 t - θ i' d = 4 MI mcosφ + 4 M I bpcos sw 0 t + φ bp + mπ J n m π m + n π cos mw ct + nw 0 ) I bn cos ( sw 0 t - φ bn + sin ( ) m =1 n = - ( ) M t i' a + cos mw c t + n w 0 t - π i' b + cos mw c t + n( w 0 t + π ) i' c 8 f 1 sf 1 f 1 ± sf 0 sf 1 8 i d = 4 MI mcosφ + 4 M I bpcos sw 0 t + φ bp + I bn cos sw 0 t - φ bn 9 s 1 = 槡 π cos w 1t - θ 1 + 槡 π n = 1 1 6n ± 1 cos 6n ± 1 w 1t - θ 6n±1 10 w 1 SPWM i a = s 1 i d f 0 45 Hz i a = 槡 4π M I mcosφcos w 1 t - θ 1 + I bp cos w 1 ± sw 0 t - θ 1 ± φ bp + I bn cos w 1 ± sw 0 t - θ 1 φ bn 1 1 f 1 ± sf 0 s 0. 0 ~ sin m + n π cos mw ct + n w 0 t + π p t = 槡 u ab i a 1 u ab 7 J n n Bessel M w 0 w u ab = U m cosw 1 t 14 c U m w 1 f M 4 U mi bp cos w 1 ± sw 0 t - θ 1 ± φ bp + cos sw 0 t - θ 1 ± φ bp + 9M 4 U mi bn cos w 1 ± sw 0 t - θ 1 ± φ bn + cos sw 0 t - θ 1 ± φ bn 15 f 1 sf 1 f 1 ± sf 0 1. TI DSP TMS0F81 16 ADC 10 khz VC Matlab 1 f 1 ± sf 0 f f 1 ±

4 98 16 sf 0 f 1 sf 1 5 sf %%%%%%%%%%%%%%%%%%50%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%150%%%%%%%%%%%%%%00 1 ELKASABGY N M EASTHAM A R DAWSON G E. Detection of broken bars in the cage rotor on an induction machine J. IEEE Trans on Power Systems J XIA Li FEI Qi. Fault detection method of induction motor based Fig. Spectrum of current for the case of 1 broken bars on information fusion analysis J. Electric Machines and Control Hilbert-Huang J NIU Faliang HUANG Jin YANG Jiaqiang et al. Rotor broken-bar 0%%%%%%%%%%%%%%%%%%50%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%150%%%%%%%%%%%%%%00 fault diagnosis of induction motor based on Hilbert-Huang transformation of the start up electromagnetic torque J. Proceedings of the CSEE Fig. Spectrum of instantaneous power for the case of 4 OUMAAMAR M E K KHEZZAR A BOUCHERMA M et al. normal induction motor Neutral voltage analysis for broken rotor bars detection in induction motors using Hilbert transform phase C / /Conference of 4nd 80 IEEE IAS Annual Meeting September New Orleans USA Park 0 J %%%%%%%%%%%%%%%%%%50%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%150%%%%%%%%%%%%%% HOU Xinguo WU Guozheng XIA Li et al. A method for detecting 4 rotor faults in asynchronous motors based on the square of the 1 Fig. 4 Spectrum of instantaneous power for the case of 1 Park s vector modulus J. Proceedings of the CSEE 00 broken bars Hilbert 00 J MA Hong zhong YAO Huayang LI Huamin. Study on rotor broken-bar fault in induction motors based on spectrum analysis of %%%%%%%%%%%%%%%%%%50%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%150%%%%%%%%%%%%%%00 Hilbert modulus J Electric Machines and Control 电流 /db 5 7. Fig. 5 Spectrum of instantaneous power for the case of broken bars J ZHANG Weixi LIU Zhenxin. Application of resonance demodulation and wavelet denosing in fault diagnosis of induction motors J. Electric Machines and Control J J. Electric Machines and Control SHI Xianjiang ZHANG Chunxi SHAO Junpeng. Fault diagnosis of induction motor with broken bar based on zoom envelope method

5 10 99 J. J LIU Zhenxin YIN Xianggen ZHANG Zhe et al. On - line rotor fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motor J. Proceedings of the CSEE input current analysis J. IEEE Trans on Industrial Electronics J FANG Fang YANG Shiyuan HOU Xinguo. Rotor fault feature extraction of motor faults of induction motor based on a modified music method J. Proceedings of the CSEE J. J XU Boqiang SONG Jiawei SUN Liling. Analysis on the power supply current feature associated with broken rotor bar in induc- 11. tion motor powered by a converter J. Proceedings of the CSEE. J MA Hongzhong LI Xunming FANG Ruiming. Diagnosis rotor asynchronous motor by using residual voltage after AC dump J. Proceedings of the CSEE of broken rotor bars in squirrel cage induction motor fed with variable frequency power J. Electric Machines and J Control 008 AN Guoqin LIU Jiaomin GUO Liwei. Diagnosing rotor broken bar fault in motor by using correlation fundamental component filtering method J. Electric Machines and Control XU Boqiang LI Heming SUN Liling. A novel diagnosis criterion for broken rotor bars in induction motors J. Proceedings of the CSEE GEORGAKOPOULOS I P MITRONIKAS E D SAFACAS A N. Detection of induction motor faults in inverter drives using inverter J LUO Ming LIU Zhengxing HUANG Fei. Diagnosis simulation