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Neural-network-based motor rolling bearing fault diagnosis

โœ Scribed by Li, B.; Chow, M.-Y.; Tipsuwan, Y.; Hung, J.C.


Book ID
118176061
Publisher
IEEE
Year
2000
Tongue
English
Weight
941 KB
Volume
47
Category
Article
ISSN
1932-4529

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ARTIFICIAL NEURAL NETWORK BASED FAULT DI
โœ B. SAMANTA; K.R. AL-BALUSHI ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 455 KB

A procedure is presented for fault diagnosis of rolling element bearings through artificial neural network (ANN). The characteristic features of time-domain vibration signals of the rotating machinery with normal and defective bearings have been used as inputs to the ANN consisting of input, hidden