Clustering of maintenance work data for failure mode discrimination
A fast and efficient method to discriminate failure modes from maintenance work orders will facilitate and motivate proactive maintenance development. This paper aims to propose a faster and as efficient clustering methodology that differs from previous text mining attempts. Text mining attempts are...
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Main Authors: | Abdullah, Abdul Rani Achmed, A. Jalil, Siti Zura, Nik Mohamed, Nik Nadzirah |
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Format: | Conference or Workshop Item |
Published: |
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96684/ https://www.ieomsociety.org/proceedings/2021india/68.pdf |
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