Title :
Test-bed system for improved induction machines diagnostics
Author :
Bellini, Alberto ; Franceschini, Giovanni ; Tassoni, Carla ; Bottauscio, Oriano ; Chiampi, Mario
Author_Institution :
DISMI, Univ. of Modena & Reggio Emilia, Modena
Abstract :
Diagnostic techniques for induction machines based on the motor current signature analysis monitor the increase of specific frequencies of the stator current spectrum, that are directly linked to anomalous conditions. The stator current spectrum includes several lines, that need to be accurately analyzed in order to achieve a reliable fault diagnosis. Several papers in the literature deal with the analysis of stator currents lines, while it is hard to retrieve information on rotor cage variables. In this paper a dedicated induction machine and experimental set-up developed at IEN is used, that allows the acquisition of instantaneous bar currents, through current sensors mounted on the rotor bars. Though artificial faults are not introduced in the machine, intrinsic non-idealities introduce harmonic distortion in the machine variables. Rotor instantaneous currents are computed by finite element approach and the results are compared with the experimental ones. Then the FFT algorithm is applied to scalar and complex variables and the results are analyzed with the help of the rotating field approach. Reference is made to synchronous operating conditions in order to address the rotor current components caused only by non-idealities.
Keywords :
asynchronous machines; electric current measurement; electric sensing devices; fast Fourier transforms; fault currents; fault diagnosis; finite element analysis; machine testing; rotors; stators; FFT algorithm; artificial faults; current sensors; fault diagnosis; finite element approach; harmonic distortion; induction machine diagnostic techniques; motor current signature analysis; rotor cage variables; rotor instantaneous bar currents; stator current spectrum; stator currents lines; synchronous operating condition; Condition monitoring; Fault diagnosis; Frequency; Induction machines; Induction motors; Information analysis; Information retrieval; Stators; Synchronous motors; System testing; FE analysis; diagnosis; induction motors; predictive maintenance; sensors;
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.2005.4662534