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,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 Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 10 Mar 2015, 14:52:37 EST Tue, 10 Mar 2015, 14:54:04 EST Tue, 10 Mar 2015, 14:55:43 EST Wed, 11 Mar 2015, 04:10:07 EST Wed, 11 Mar 2015, 07:17:12 EST Thu, 12 Mar 2015, 05:06:32 EST Mon, 16 Mar 2015, 11:11:39 EST Mon, 16 Mar 2015, 11:14:02 EST Thu, 19 Mar 2015, 09:34:24 EST Tue, 19 May 2015, 14:34:55 EST Fri, 12 Jun 2015, 13:37:42 EST Mon, 23 Nov 2015, 09:41:28 EST Sat, 22 Jan 2022, 01:31:52 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 509 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Tue, 10 Mar 2015, 14:55:43 EST