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Rotating machinery diagnosis using wavelet packets-fractal technology and neural networks

โœ Scribed by Chih-Hao Chen; Rong-Juin Shyu; Chih-Kao Ma

Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
275 KB
Volume
21
Category
Article
ISSN
1738-494X

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๐Ÿ“œ SIMILAR VOLUMES

ARTIFICIAL NEURAL NETWORK BASED FAULT DI
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROTATING MACHINERY USING WAVELET TRANSFORMS AS A PREPROCESSOR
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