You are not logged in.

A new application of an evolving tree to failure mode and effect analysis methodology

Chang,WL, Tay,KM and Lim,CP 2014, A new application of an evolving tree to failure mode and effect analysis methodologyNeural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III, Springer Verlag, Berlin, Germany, pp.415-422, doi: 10.1007/978-3-319-12643-2_51.

Attached Files
Name Description MIMEType Size Downloads

Title A new application of an evolving tree to failure mode and effect analysis methodology
Author(s) Chang,WL
Tay,KM
Lim,CPORCID iD for Lim,CP orcid.org/0000-0003-4191-9083
Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III
Publication date 2014
Series Lecture notes in computer science ; v.8836
Chapter number 51
Total chapters 83
Start page 415
End page 422
Total pages 8
Publisher Springer Verlag
Place of Publication Berlin, Germany
Keyword(s) Clustering
Evolving tree
Failure mode and effect analysis
Visualisation
Summary Failure Mode and Effect Analysis (FMEA) is a popular safety and reliability analysis methodology for examining potential failure modes of products, process, designs, or services, in a wide range of industries. Despite its popularity, there are a number of limitations of FMEA, and two highlighted issues are the bulky FMEA form and its intricacy of use. To overcome these shortcomings, we introduce the idea of visualisation pertaining to the failure modes or control actions in FMEA. A visualisation model with an incremental learning feature, i.e., the evolving tree (ETree), is adopted to allow the failure modes or control actions in FMEA to be clustered and visualized. The failure modes or control actions are grouped and visualized with consideration of their Severity, Occurrence, and Detection scores. Our proposed approach allows the failure modes or control actions to be mapped into a tree structure for visualisation. The devised approach is evaluated with a benchmark problem. The experiments show that the control actions of FMEA can be visualised through the tree structure, which provides a quick and easily understandable platform of the FMEA spreadsheet to facilitate decision making tasks.
ISBN 9783319126425
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-12643-2_51
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070507

Document type: Book Chapter
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 138 Abstract Views, 5 File Downloads  -  Detailed Statistics
Created: Tue, 10 Mar 2015, 14:55:43 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.