TY - GEN
T1 - Submersible motor rotor bars broken fault analysis based on HHT
AU - Lv, Xin
AU - Hou, Zhuo
AU - Wang, Liguo
AU - Lv, Linlin
AU - Xu, Dianguo
PY - 2012
Y1 - 2012
N2 - Rotor bar broken fault is one of the common faults of the submersible motor. In order not to affect the production efficiency of submersible motor, the fault should be detected in time. For the purpose of solving the problem of the rotor crack detection, this dissertation has designed a method based on the analysis of the stator current to detect the rotor bar breaking fault. Through the experiments on submersible motor, we analyze on the stator current spectrum by means of HHT algorithm of the three different states of submersible motornormal, minor fault and complete fault, and discriminate the fault in accordance with the frequency and amplitude of the current spectrum. Furthermore, the BP neural networks are also applied into the research to identify the rotor bar breaking fault in order to increase the accuracy of the discrimination results. The experiment and the research end up with a better result, and it verifies the feasibility and accuracy of the method.
AB - Rotor bar broken fault is one of the common faults of the submersible motor. In order not to affect the production efficiency of submersible motor, the fault should be detected in time. For the purpose of solving the problem of the rotor crack detection, this dissertation has designed a method based on the analysis of the stator current to detect the rotor bar breaking fault. Through the experiments on submersible motor, we analyze on the stator current spectrum by means of HHT algorithm of the three different states of submersible motornormal, minor fault and complete fault, and discriminate the fault in accordance with the frequency and amplitude of the current spectrum. Furthermore, the BP neural networks are also applied into the research to identify the rotor bar breaking fault in order to increase the accuracy of the discrimination results. The experiment and the research end up with a better result, and it verifies the feasibility and accuracy of the method.
KW - BP neural networks
KW - HHT
KW - Rotor bar broken fault
KW - submersible motor
UR - https://www.scopus.com/pages/publications/84866775917
U2 - 10.1109/IPEMC.2012.6259231
DO - 10.1109/IPEMC.2012.6259231
M3 - 会议稿件
AN - SCOPUS:84866775917
SN - 9781457720864
T3 - Conference Proceedings - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
SP - 2398
EP - 2404
BT - Conference Proceedings - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
T2 - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
Y2 - 2 June 2012 through 5 June 2012
ER -