Machinery fault diagnosis schemas based on fuzzy integral theory

Liu, Xiaofeng, Ma, Lin, Zhang, Sheng, & Mathew, Joseph (2005) Machinery fault diagnosis schemas based on fuzzy integral theory. In International Conference on Condition Monitoring, 18-21 July 2005, Cambridge, England.


Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on the development of a machinery fault diagnosis application of fuzzy measures and fuzzy integrals. Fuzzy measures and fuzzy integrals take into account the index of importance of criteria and interactions among them--an important feature that makes fuzzy measure and fuzzy integral a good candidate for application in machinery fault diagnosis. The theory of fuzzy measures and fuzzy integrals and their important properties are introduced. Techniques for identifying fuzzy measures are summarised. Two schemas using fuzzy measures and fuzzy integrals for machinery fault diagnosis are also proposed.

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.

Full-text downloads:

584 since deposited on 14 Apr 2008
37 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 13299
Item Type: Conference Paper
Refereed: Yes
Keywords: Data fusion, Fuzzy measures, Fuzzy integrals, Fault diagnosis
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2005 (please consult author)
Deposited On: 14 Apr 2008 00:00
Last Modified: 29 Feb 2012 13:12

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page