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A Case Study of Failure Mode Analysis with Text Mining Methods
Chen, L. and Nayak, R.
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. |
Cite as: Chen, L. and Nayak, R. (2007). A Case Study of Failure Mode Analysis with Text Mining Methods. In Proc. 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia. CRPIT, 84. Ong, K.-L., Li, W. and Gao, J., Eds. ACS. 49-60. |
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