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A case study of failure mode analysis with text mining methods

Chen, Lin & Nayak, Richi (2007) A case study of failure mode analysis with text mining methods. In Ong, K.-L., Li, W., & Gao, J. (Eds.) 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), 2 December 2007, Gold Coast, Qld..

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Abstract

The maintenance dataset provided by SunWater contains information about failed assets also known as components and their corresponding failure modes. Currently, extraction of this information from the dataset been conducted in a manual manner, which is very tedious, time consuming and cumbersome work. It is necessary to discover an automatic method to decide/extract the failure mode. This paper presents three methods that were attempted in an effort to solve this problem. The performance of each method is analysed in detail and suggestions for how the outcomes can be improved are also proposed.

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ID Code: 14249
Item Type: Conference Paper
ISBN: 9781920682651
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Australian Computer Society
Copyright Statement: Copyright © 2007, Australian Computer Society, Inc. This paper appeared at the Second Workshop on Integrating AI and Data Mining (AIDM 2007), Gold Coast, Australia. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 84, Kok-Leong Ong, Junbin Gao and Wenyuan Li, Ed. Reproduction for academic, not-for profit purposes permitted provided this text is included.
Deposited On: 31 Jul 2008
Last Modified: 29 Feb 2012 23:33

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