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ASME Press Select Proceedings

International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

The paper introduced an improved wavelet neural network model based on the certain link between signs and failure of pumping wells. We increased the part of the direct connection between input and output node, and highlighted the correlation of signs input and fault output. The experiment results show that using the improved wavelet neural network for fault diagnosis of pumping wells will greatly enhance the accuracy and speed of pumping wells fault diagnosis.

Abstract
Key words
Introduction
1. Improved Wavelet Neural Network Model
2. The Application of Improved Wavelet Neural Network in Fault Diagnosis of Pumping Wells
References
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