Title :
A time-frequency method for multiple fault detection in three-phase induction machines
Author :
Bacha, K. ; Gossa, M. ; Henao, H. ; Capolino, G.A.
Author_Institution :
Ecole Super. des Sci. et Tech. de Tunis 5, Tunis
Abstract :
It is well known that induction machine stator current is a nonstationary signal and its properties change with respect to operating conditions. The computed spectrum using the fast Fourier transform (FFT) does not provide accurate time-domain information about the operating conditions. As a result, the FFT spectrum analysis makes difficult to recognize fault conditions from the normal operation of the induction machine. A time-frequency approach is proposed in order to track some frequency components associated to electrical and load faults. This method is applied to a 18.5 kW three-phase induction machine with three broken rotor bars and under the effect of load torque variation which can result from a load fault.
Keywords :
asynchronous machines; fast Fourier transforms; fault diagnosis; time-frequency analysis; FFT spectrum analysis; electrical faults; fast Fourier transform; load faults; load torque variation; multiple fault detection; nonstationary signal; power 18.5 kW; rotor bars; stator current; three-phase induction machines; time-frequency method; Condition monitoring; Electrical fault detection; Fault detection; Frequency domain analysis; Induction machines; Signal analysis; Signal processing; Stators; Time domain analysis; Time frequency analysis; Induction machine; Multiple-fault detection; Time-frequency analysis;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives, 2005. SDEMPED 2005. 5th IEEE International Symposium on
Conference_Location :
Vienna
Print_ISBN :
978-0-7803-9124-6
Electronic_ISBN :
978-0-7803-9125-3
DOI :
10.1109/DEMPED.2005.4662525