Paper Title:
The Application of EMD and ARMA Bi-Cepstrum Fault Diagnosis Method in Gearbox of Overhead Traveling Crane
  Abstract

For the time varying of signals, empirical mode decomposition (EMD) is occupied to modulate signals; auto-regressive moving average (ARMA) of higher accuracy is used to establish model for the signal principal components; then parametric bi-cepstrum estimation is implemented and fault feature is extracted. The test results about gearbox of overhead traveling crane indicate: the feature quefrency can be obtained through method of EMD and ARMA model parametric bi-cepstrum estimation.It is a kind of effective fault diagnosis and stability evaluation method.

  Info
Periodical
Advanced Materials Research (Volumes 308-310)
Chapter
Innovative Design Methodology
Edited by
Jian Gao
Pages
88-91
DOI
10.4028/www.scientific.net/AMR.308-310.88
Citation
H. B. Xu, G. H. Chen, X. H. Wang, J. Liang, "The Application of EMD and ARMA Bi-Cepstrum Fault Diagnosis Method in Gearbox of Overhead Traveling Crane", Advanced Materials Research, Vols. 308-310, pp. 88-91, 2011
Online since
August 2011
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: Qian Gao, Guang Xia Li, Xiang Tian, Jian Sun
Chapter 1: Mechatronics
Abstract:This paper proposes an IMF-based traffic prediction method. According with the characteristics of each IMF (Intrinsic Mode Function),...
1421
Authors: Wei Tang, Yu Yang Lian, Xi Chen, Zhi Yong Pei, Qi Wang
Chapter 4: Practice of Data Processing for Intelligent Systems
Abstract:Aiming at the mode mixing problem caused by interpolation point selection of conventional EMD (Empirical mode decomposition) method, a...
451
Authors: Zhi Jun Dai, Yu Fa Xu, Xiao Juan Mei, Qiang Qiang Su
Chapter 1: Applied Mechanics and Dynamics, Mechanical Engineering, Manufacturing
Abstract:The randomness of wind power and the nonstationarity of gearbox vibration signals greatly increased the difficulty of wind turbine gearbox...
195