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The Research on the Methods of Diagnosing the Steam Turbine Based on the Elman Neural Network
Hebei University of Engineering, Handan China
Hebei University of Engineering, Handan China
- 1 Hebei University of Engineering, Handan China
- 2 Hebei University of Engineering, Handan China
Journal of Software Engineering and Applications·Volume 06 (2013)·Pages 87–90·Published 30 March 2013·DOI10.4236/jsea.2013.63B019
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Abstract
This paper introduces a kind of diagnosis principle and learning algorithm of steam turbine fault diagnosis which based on Elman neural network. Comparing the results of the Elman neural network and the traditional BP neural network diagnosis, the results shows that Elman neural network is an effective way to improve the learning speed , effectively suppress the minimum defects that the traditional neural network easily trapped in, and shorten the autonomous learning time. All these proves that the Elman neural network is an effective way to diagnose the steam turbine.
KeywordsSteam Turbine Fault DiagnosisElman Neural NetworkBP Neural Network
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