DocumentCode
2317743
Title
A practical bearing fault diagnoser
Author
Sadoughi, Alireza ; Behbahanifard, Hamidreza
Author_Institution
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan
fYear
2008
fDate
21-24 April 2008
Firstpage
151
Lastpage
154
Abstract
Bearing is an important part of electric machines. In order to avoid unscheduled outputs, it is important to detect an upcoming fault as soon as possible. Since fault in a great number of bearings commences from a single point defect, research on this category of faults has shared a great deal in predictive diagnosis literature. Single point defects will cause certain characteristic frequencies to appear in machine vibration spectrum. Because of impulsive nature of fault strikes, and complex modulations present in vibration signal, a simple spectrum analysis may result in erroneous conclusions.
Keywords
electric machines; fault diagnosis; machine bearings; vibrations; auto-correlated vibration power signals; bearing fault diagnoser; electric machines; machine vibration spectrum; Autocorrelation; Circuit faults; Condition monitoring; Costs; Fault diagnosis; Frequency; Neural networks; Shafts; Signal processing; Vibration measurement; Apparatus; Autocorrelation; Bearing; Diagnosis; Fault; Intelligent; Vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1621-9
Electronic_ISBN
978-1-4244-1622-6
Type
conf
DOI
10.1109/CMD.2008.4580251
Filename
4580251
Link To Document