DocumentCode :
468613
Title :
Parameter identification and its application in fault diagnosis of asynchronous motor
Author :
Ma, Hongzhong ; Ni, Xinrong ; Ding, Yuanyuan ; Song, Jingang
Author_Institution :
Hohai Univ., Nanjing
fYear :
2007
fDate :
8-11 Oct. 2007
Firstpage :
1824
Lastpage :
1828
Abstract :
The method of asynchronous motor´s parameter identification is introduced simply. The model of asynchronous motor´s parameter identification based on two-phase coordinate system is established. Do not need using signal of rotor magnetic linkage, through measuring the stator voltage, current and signal of rotational speed, the method of recursive least squares is made use of to carry on recognizing motor parameters. Through the identification of healthy motor and faulty motor, the relevant parameters of healthy motor and faulty motor are received. The change regulation of portion parameters before and after the motor broken is received. Some parameters will generate great change after motor broken. Based on this, it could pass parameter identification and faulty diagnosis toward the state of parameter deviate normal value.
Keywords :
fault diagnosis; induction motors; parameter estimation; asynchronous motor; fault diagnosis; parameter identification; two-phase coordinate system; Couplings; Current measurement; Fault diagnosis; Least squares methods; Parameter estimation; Rotation measurement; Rotors; Stators; Velocity measurement; Voltage measurement; broken bar; diagnosis; fault analysis; induction machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
Type :
conf
Filename :
4412104
Link To Document :
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