Dimensions
DimensionsRao, K.S.R. and Yahya, M.A. (2008) Neural networks applied for fault diagnosis of AC motors. In: UNSPECIFIED.
Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
This paper presents an Artificial Neural Network (ANN) technique to recognize the incipient faults of an AC motor such as a synchronous motor. The proposed ANN-based fault detector is developed using the Resilient Error Back Propagation (RPROP) training algorithm. The fast and reliable method for multilayer neural networks converges much faster than the conventional back propagation algorithm. The main causes to diagnose three major faults are investigated and validated by adopting feed-forward back propagation neural networks. © 2008 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 6; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115 |
| Uncontrolled Keywords: | AC motors; Artificial intelligence; Backpropagation; Backpropagation algorithms; Electric fault currents; Information technology; Motors; Multilayer neural networks; Synchronous motors; Vegetation, Artificial neural networks; Back propagation neural networks; Error back propagations; Fault detectors; Fault diagnosis; Incipient faults; Reliable methods; Training algorithms, Neural networks |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 15:15 |
| Last Modified: | 09 Nov 2023 15:15 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/315 |
Actions (login required)
- View Item