Title :
Eccentricity fault diagnosis in induction motors using global processors — A review
Author :
Abu-Elhaija, W.S. ; Takbash, A.M. ; Faiz, Jawad ; Ebrahimi, Bashir Mahdi
Author_Institution :
King Abdullah II Fac. of Eng., Princess Sumaya Univ. for Technol., Amman, Jordan
Abstract :
In this paper all processors employed for processing induction motor signals are investigated to detect eccentricity fault have been investigated in details. So, the competent indices which extracted by these processors are studied and compared in different aspects. Moreover, the efficiency of the aforementioned indices in different induction motors conditions is determined and relation between this efficiency and utilized processor is analyzed. Many simulation and experimental results are inspected to certify discussions.
Keywords :
fault diagnosis; induction motors; signal processing; aforementioned indices efficiency; eccentricity fault diagnosis; global processors; induction motor signals; Fault diagnosis; Harmonic analysis; Induction motors; Program processors; Rotors; Stators; Transforms; FFT; Fault Detection; Hilbert; Signal Processing; Wavelet;
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4673-4506-4
DOI :
10.1109/PEDES.2012.6484398
