DocumentCode :
253056
Title :
An approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis
Author :
Shrivastava, Ashish ; Wadhwani, Sulochana
Author_Institution :
Dept. of Electr. Eng., JECRC Univ., Jaipur, India
fYear :
2014
fDate :
9-11 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
In the present scenario electric motor plays the most important role in any industry. Induction motor faults results in motor failure causing breakdown and great loss of production due to shutdown of industry and also increases the running cost of machine with reduction in efficiency. This needs for early detection of fault with diagnosis of its root cause. This paper presents an approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis. The experimental result shows variation in vibration signal of rotating electrical machine under healthy condition and faulty condition. The information is based on the author´s study in the field of rotating machinery vibration diagnostics under different fault condition.
Keywords :
condition monitoring; electric machines; fault diagnosis; maintenance engineering; reliability; signal processing; vibration measurement; Induction motor fault; fault detection; fault diagnosis; faulty condition; healthy condition; motor failure; rotating electrical machine; rotating machinery vibration diagnostics; vibration signal analysis; Maintenance engineering; Monitoring; Production; Shape; Standards; Vibrations; condition monitoring; fault classification; induction motor; rolling element bearing; time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances and Innovations in Engineering (ICRAIE), 2014
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-4041-7
Type :
conf
DOI :
10.1109/ICRAIE.2014.6909160
Filename :
6909160
Link To Document :
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