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Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms

โœ Scribed by Javier Sanz; Ricardo Perera; Consuelo Huerta


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
478 KB
Volume
302
Category
Article
ISSN
0022-460X

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ARTIFICIAL NEURAL NETWORK BASED FAULT DI
โœ B.A. Paya; I.I. Esat; M.N.M. Badi ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 236 KB

The purpose of condition monitoring and fault diagnostics are to detect and distinguish faults occurring in machinery, in order to provide a significant improvement in plant economy, reduce operational and maintenance costs and improve the level of safety. The condition of a model drive-line, consis