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A Comprehensive Analysis of an Artificial Neural-Network-Based Fault Direction Discriminator

✍ Scribed by Sidhu, T.S.; Mital, L.; Sachdev, M.S.


Book ID
121816100
Publisher
IEEE
Year
2004
Tongue
English
Weight
387 KB
Volume
19
Category
Article
ISSN
0885-8977

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πŸ“œ SIMILAR VOLUMES


ARTIFICIAL NEURAL NETWORK BASED FAULT DI
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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