DETECTING LONG-TERM TRENDS IN TURBO-GENERATOR STATOR END-WINDING VIBRATIONS THROUGH NEURAL NETWORK MODELLING

Author:

VAN WYK E.M.P.,HOFFMAN A.J.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference8 articles.

1. Neural networks for intelligent machinery diagnostics;MACINTYRE;Engineering Systems Design and Analysis,1994

2. Experience with plant condition monitoring at fossil power plants;BEEBE;PWR,1991

3. Design installation and experience with a comprehensive condition monitoring and diagnostic system for a 500 MW thermal power plant;NARAKESARI;Joint ASME/IEEE Power Generation Conference, Kansas City, Kansas, 9p,1993

4. New trends in machine tool monitoring and diagnostics;MONOSTORI;Robotics and Computer-Integrated Manufacturing,1988

5. J. M. WEISS, R. J. COLSHER, S. M. DIVAKARUNI, T. NORDBO, 1992, Publication of EPRI, Predictive controls for fossil generating stations

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