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
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