Paper Title:
Characteristics Identification of Overlapping Vibration Signals on Mallat
  Abstract

In rotor-bearing system running, vibration signals measured were an kind of Multi-vibration source signals which is overlapping each other. These overlapping signals were difficult to be separated by the ordinary methods, which is adverse to precisely estimate faults of rotor-bearing system in running. In this paper, a test rig was set up to simulate mis-alignment faults; collected vibration signals of bearings were decomposed and reconstructed by algorithm of Mallat. Reconstructed signal can reflect detail character s of bearings vibration. And vibration signals characteristics of fault rotor were effectively identified.

  Info
Periodical
Advanced Materials Research (Volumes 97-101)
Edited by
Zhengyi Jiang and Chunliang Zhang
Pages
4375-4378
DOI
10.4028/www.scientific.net/AMR.97-101.4375
Citation
H. Sun, Z. J. Yang, Q. L. Liang, X. Y. Pang, "Characteristics Identification of Overlapping Vibration Signals on Mallat", Advanced Materials Research, Vols. 97-101, pp. 4375-4378, 2010
Online since
March 2010
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: Jian Zhang, Ru Qiang Yan, Robert X. Gao
Abstract:Ensemble Empirical Mode Decomposition (EEMD) is a new signal processing technique aimed at solving the problem of mode mixing present in the...
167
Authors: Yong Jiang, Ya Ping Wang, Dong Mei Zhao
Chapter 2: Innovation Engineering Management
Abstract:The paper analyzes the difference between useful signal and noise signal in dissemination characteristic inside wavelet space in...
176
Authors: Chang Zheng Chen, Quan Gu, Bo Zhou
Chapter 7: Industrial Equipment and Engineering
Abstract:This paper researches fault feature extraction method based on singular value decomposition and the improved HHT method for non-stationary...
785
Authors: Chen Ding
Chapter 2: Light/Radiation Monitoring
Abstract:Information redundancy and complementarity are existing between the images obtained by multi-sensor, image fusion can improve the certainty...
229
Authors: Ling Li Jiang, Bo Bo Li, Xue Jun Li
Chapter 3: Mechanical Transmission, Vibration and Noise
Abstract:Hilbert-Huang transform (HHT) is a very effective time-frequency analysis method, but it has some disadvantages. For example, the dense modal...
264