Paper Title:
The Trend Estimate of the Wind Turbine Based on the Wavelet Neural Network
  Abstract

In this paper,adopting wavelet neural network,fault forecast of characteristic parameters of Wind turbine are realized by forecasting time series of key characteristic parameters of Wind turbine that include vibration intensity. With more degree of freedom in relation to the general neural network, wavelet neural network is in possession of more vivid and more valid ability in function approximation. With the good partial characteristic and distinguish rate learning wavelet neural network realizes the signal with good matching, and then wavelet neural network had stronger self-adaptation ability, more sooner convergence rate and higher forecast accuracy. Emulation and experiment result show that the forecast accuracy of the wavelet neural network meets demand and is of far reaching importance to guarantee the steam turbine circulate efficiently safety .

  Info
Periodical
Advanced Materials Research (Volumes 443-444)
Chapter
Chapter 2: Optical, Electronic Materials and Industrial Application
Edited by
Li Jian
Pages
1039-1044
DOI
10.4028/www.scientific.net/AMR.443-444.1039
Citation
Z. J. Wang, S. M. Liu, L. L. Luan, H. Q. Xiao, "The Trend Estimate of the Wind Turbine Based on the Wavelet Neural Network", Advanced Materials Research, Vols. 443-444, pp. 1039-1044, 2012
Online since
January 2012
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yu Min Pan, Cheng Yu Huang, Quan Zhu Zhang
Abstract:In order to improve the precision of gas emission forecasting,this paper proposes a new forecasting model based on Particle Swarm...
605
Authors: Hui Zhen Yang, Wen Guang Zhao, Wei Chen, Xu Quan Chen
Chapter 8: System Modeling and Simulation
Abstract:Wavelet Neural Network (WNN) is a new form of neural network combined with the wavelet theory and artificial neural network. The wavelet...
4847
Authors: Yu Min Pan, Xiao Yu Zhang, Peng Qian Xue
Chapter 5: Computer-Aided Design in Materials Engineering
Abstract:A new method of rolling prediction for gas emission based on wavelet neural network is proposed in this paper. In the method, part of the...
1500
Authors: Yi Hui Zhang, He Wang, Zhi Jian Hu, Meng Lin Zhang, Xiao Lu Gong, Cheng Xue Zhang
Chapter 3: Development and Utilization of Wind Energy
Abstract:Extreme learning machine (ELM) is a new and effective single-hidden layer feed forward neural network learning algorithm. Extreme learning...
564
Authors: Feng Wang, Zhi Zhong Tan, De You Liu, Xiang Dong Qian
Chapter 4: Pharmaceutical, Chemical and Energy Engineering
Abstract:This paper analyzes the importance of the wind farm wind speed prediction, as well as the different forecasting methods in various fields....
741