Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
Choi, B K, Gu, Dong-Sik, Kim, Eric, Mathew, Joseph, Son, Jong-Duk, Tan, Andy, Widodo, Achmad, & Yang, Bo-Suk (2008) Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Systems with Applications, 36(3), pp. 7252-7261.
Impact and interest:
Citation counts are sourced monthly from and 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 theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||Fault diagnosis, low speed bearing, multi-class relevance vector machine, support vector machine, acoustic emission signal, vibration signal|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Deposited On:||12 Feb 2010 12:48|
|Last Modified:||29 Feb 2012 13:49|
Repository Staff Only: item control page