Title :
Motor noise source identification based on frequency domain analysis
Author :
Wang, Qingnian ; Yan, Kun ; Li, Hongyan ; Yuan, Meiling
Author_Institution :
Dept. of Inf. Eng., Univ. of Nanchang, Nanchang, China
Abstract :
The problems on motor noise source identification are discussed in this paper. The reasons of motor vibration and species of motor noises are introduced. The advantages and disadvantages of some usual noise source identification methods are also clarified in this paper. As an emphasis, the basic theory and methods about frequency domain analysis are studied. Use MATLAB software to process collected data and do frequency domain analysis. Do an experiment to confirm the frequency domain analysis method of this paper, and the experiment shows that this method is effective in motor noise source identification, and can use to practical situation.
Keywords :
acoustic noise; electric motors; frequency-domain analysis; vibrations; Matlab software; frequency domain analysis; motor noise source identification; motor vibration; Acoustic noise; Automation; Electromagnetic interference; Frequency domain analysis; Machining; Mechatronics; Rotors; Stators; Velocity measurement; Vibration measurement; frequency domain analysis; noises source detection; spectrum analysis;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246240