Paper Title:
Research on Identification Method of Multi-Mixed Vibration Signal of Aeroengine
  Abstract

The effectiveness of separation and identification of mechanical signals vibrations is crucial to successful fault diagnosis in the condition monitoring and diagnosis of complex machines.Aeroengine vibration signals always include many complicated components, blind source separation (BSS) provides a efficient way to separate the independent component.In order to get the most effective algorithm of vibration signal separation,experiment has been done to acquire plenty of multi-mixed rotor vibration signals,three sets of vibration data generated from aeroengine rotating shafts were separated from the synthetic vibration signal. The results prove that blind source separation is effective and can be applied for vibration signal processing and fault diagnosis of aeroengine.

  Info
Periodical
Key Engineering Materials (Volumes 419-420)
Edited by
Daizhong Su, Qingbin Zhang and Shifan Zhu
Pages
801-804
DOI
10.4028/www.scientific.net/KEM.419-420.801
Citation
X. Y. Jin, S. S. Zhong, "Research on Identification Method of Multi-Mixed Vibration Signal of Aeroengine", Key Engineering Materials, Vols. 419-420, pp. 801-804, 2010
Online since
October 2009
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: Xiang Yang Jin, Shi Sheng Zhong
Abstract:Order tracking is an important method to analyze the response characteristics of rotating machinery for fault diagnosis and condition...
805
Authors: Ya Hui Wu, Da Zhi Zhang, Xin Liang Li, Jing Feng Xue
Abstract:The characteristics of the continuous wavelet transform scalogram of the aeroengine vibration signal could show the fault symptomatic in the...
942
Authors: Meng Di Ye, Zhi Nong Li, Yao Xian Xiao, Xu Ping He, Jing Wen Yan
Chapter 6: Applied Mechanics and Fault Diagnosis Analysis
Abstract:A nonlinear blind separation method of mechanical fault sources is proposed. In the proposed method, the signal is transformed from the...
394
Authors: Hong Kun Li, Hong Yi Liu, Chang Bo He
Chapter 4: Algorithms and Methods of Data and Signal Processing in Technique of Measurements and Fault Detection
Abstract:Blind source separation (BSS) is an effective method for the fault diagnosis and classification of mixture signals with multiple vibration...
1350