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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