Paper Title:
Material Level Noise Measuring for Steel Ball Coal Mill Based on Energy Entropy of Wavelet Packet and Least Squares Support Vector
  Abstract

A new material level noise measuring method of steel ball coal mill was proposed on the basis of energy entropy of wavelet packet and least squares support vector machines. First, four layers wavelet packet decomposition of the acquired noise signals was performed and the wavelet packet energy entropy was extracted; then the eigenvector of wave packet of the noise signals was constructed, the least squares support vector machines were trained to intelligent material level measuring by taking this eigenvector as sample. The simulation result from the proposed method is effective and feasible.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 29: Nanofabrication, Nanometrology and Applications
Edited by
Wu Fan
Pages
7183-7188
DOI
10.4028/www.scientific.net/AMR.383-390.7183
Citation
Z. Y. Cai, T. Li, "Material Level Noise Measuring for Steel Ball Coal Mill Based on Energy Entropy of Wavelet Packet and Least Squares Support Vector", Advanced Materials Research, Vols. 383-390, pp. 7183-7188, 2012
Online since
November 2011
Authors
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: Jin Ying Huang, Hong Xia Pan, Shi Hua Bi
Abstract:Fault feature extraction and application is the key technology of fault diagnosis. In this paper, a fault diagnosis method using bispectrum...
708
Authors: Ming Zhi Pan, Hong Xia Pan, Run Peng Zhao
Chapter 6: Frontiers of Mechanical Engineering (1)
Abstract:Online monitoring and fault diagnosis is an important link of guaranteeing the equipment smooth operation and reliable working, which...
3175
Authors: Hong Wei Ma, Qing Hua Mao, Xu Hui Zhang, Da Wei Zhang, Hai Yu Chen
Chapter 3: Mechatronics and Automation
Abstract:Because of steel cord conveyor belt with high load operating and complex conditions of coal mine, it is prone to cause conveyor belt...
1814
Authors: Shu Yan Zhao, Qi Wang
Chapter 1: Mechatronics Materials
Abstract:The sensor fault diagnosis method based on wavelet packet characteristic entropy and relevance vector machine are researched, which is used...
3
Authors: Wen Bin Zhang, Yan Ping Su, Yan Jie Zhou, Ya Song Pu
Chapter 7: Mechatronics, Measurements and Control
Abstract:In this paper, a novel method to recognize gear fault pattern was approached based on multi-scale morphological undecimated wavelet...
369