Bearing Fault Classification Using Wavelet Features

Ma, Lin, Mathew, Joseph, & Yang, Hongyu (2004) Bearing Fault Classification Using Wavelet Features. In Adjallah, K, Lee, J, Ni, J, Lung, B, Noyes, D, Senechal, O, et al. (Eds.) Proceedings of the Intelligent Maintenance Systems 2004 International Conference (Section 1-D), 15 - 17 July 2004, Aries, France.

View at publisher

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 23921
Item Type: Conference Paper
Refereed: Yes
ISBN: 2-9522453-0-4
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Deposited On: 17 Jun 2009 14:15
Last Modified: 29 Feb 2012 13:05

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page