Title :
Experimental investigation on misalignment fault detection in induction motors using current and vibration signature analysis
Author :
Kumar, Chandan ; Krishnan, Geeta ; Sarangi, Somnath
Author_Institution :
Mech. Eng. Dept., Indian Inst. of Technol., Patna, Patna, India
Abstract :
In the rotating machinery one of the commonly known reasons of vibration is misalignment of rotating shaft. In this present work experimental investigation is carried out on three phase induction motor to detect rotor misalignment. Proximity and current probes are used to monitor the vibration and current signal respectively. Fast Fourier Transform is used for signal processing. A full spectrum analysis is presented for both current signal and vibration signal to reveal the fault-specific whirl signatures. The results clearly indicate the potential and feasibility of the discussed approach for the rotor misalignment diagnosis in a shaft/rotor system coupled with a three phase induction motor.
Keywords :
fast Fourier transforms; fault diagnosis; induction motors; rotors; shafts; vibrations; current signature analysis; fast Fourier transform; fault-specific whirl signatures; induction motors; misalignment fault detection; rotor misalignment detection; rotor misalignment diagnosis; rotor system; shaft system; spectrum analysis; vibration signature analysis; Couplings; Induction motors; Probes; Rotors; Shafts; Spectral analysis; Vibrations; Fault Detection; Full Spectrum; Misalignment;
Conference_Titel :
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8432-9
DOI :
10.1109/ABLAZE.2015.7154971