DocumentCode
478199
Title
Self-Organizing Map-Based Fault Dictionary Application Research on Rolling Bearing Faults
Author
Pi, Jun ; Lin, Jiaquan ; Li, Xiangjiang
Author_Institution
Aeronaut. Mech. Coll., Civil Aviation Univ. of China, Tianjin
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
311
Lastpage
315
Abstract
Vibration signal resulting from rolling bearing defects presents a rich content of physical information, the appropriate analysis methods of which can lead to the clear identification of the nature of the fault. A novel procedure is presented for construction of fault diagnosis dictionary through self-organization map (SOM). The experiments show that the bearing faults diagnosis dictionary could be effectively applied in the vibration pattern recognition for a roller bearing system.
Keywords
fault diagnosis; mechanical engineering computing; rolling bearings; self-organising feature maps; vibrations; rolling bearing faults; self-organizing map-based fault dictionary; vibration pattern recognition; vibration signal; Ball bearings; Data mining; Dictionaries; Educational institutions; Fault diagnosis; Feature extraction; Neurons; Rolling bearings; Testing; Vibrations; Self-organization Map; Vibration signa; faults diagnosis dictionary; pattern recognition; physical information;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.107
Filename
4667152
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