By Topic

A New Method of Multi-sensor Vibration Signals Data Fusion Based on Correlation Function

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Li Xuejun ; Hunan provincial Key Lab. of Health Maintenance for Mech. Equip., Hunan Univ. of Sci. & Technol., Xiangtan, China ; Bin Guangfu ; Dhillon, B.S.

In this paper to further enhance the measuring precision of vibration signal in the process of rotary machine fault diagnosis, a new data fusion method is presented on the basis of correlation function to determine the weighted value. The method doesn't require knowing the prior knowledge about sensors, and the weighted value of sensors can be determined on the basis of the correlation measure of real-time data tested in the fusion process. It gives greater weighted value to the greater correlation measure of sensor signals, and vice versa. Through simulation analysis, the dynamic adaptability, precision, and fault-tolerance of this method are better than the traditional weighted averaging method. Furthermore, this method has good performance of anti-jamming due to the correlation measures between noises and effective signals are usually small. Finally, rotor dynamics and integrated fault diagnosis system is taken as an example to verify the feasibility and advantages of this method with respect to multi-sensor vibration signal processing.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009