Machinery fault diagnosis based on fuzzy measure and fuzzy integral data fusion techniques
Liu, Xiaofeng, Ma, Lin, & Mathew, Joseph (2009) Machinery fault diagnosis based on fuzzy measure and fuzzy integral data fusion techniques. Mechanical Systems and Signal Processing, 23(3), pp. 690-700.
Citation countsare sourced monthly fromand 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:||Fuzzy Measures, Fuzzy Integrals, Fuzzy c-means, Data Fusion, Fault Diagnosis|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)|
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Dynamics Vibration and Vibration Control (091304)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Deposited On:||13 Jul 2011 23:11|
|Last Modified:||03 Dec 2012 12:07|
Repository Staff Only: item control page