We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Extraction of fault feature in gear system based on convolution type of wavelet packet transform and singular value decomposition

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

2 Author(s)
Zhu Qibing ; Sch. of Commun. & Control Eng., Jiangnan Univ., Wuxi ; Yang Huizhong

A novel approach to extract fault feature parameters is put forward. First, the time signal is transformed to time-frequency signals which keep same length as that of the original signal by using the convolution type of wavelet packet transformation.Second, considering time-frequency signals as the matrix reflect feature of system, singular value decomposition (SVD) is used to convert the multi-dimension time-frequency matrix to one dimension feature vector. Last, effective feature extraction is achieved. At the same time, an improved singular value decomposition method (ISVD) is employed. ISVD overcomes shortcomings of classical method which canpsilat determine corresponding relation of singular value with row vectors of input matrix, and ensures precise of feature information.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008