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...
Saved in:
Main Authors: | Abdullah, Abdul Rani Achmed, A. Jalil, Siti Zura, Nik Mohamed, Nik Nadzirah |
---|---|
Format: | Conference or Workshop Item |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96684/ https://www.ieomsociety.org/proceedings/2021india/68.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Clustering and visualization of failure modes using an evolving tree
by: Tay, Kai Meng, et al.
Published: (2015) -
Clustering and visualization of failure modes using an evolving tree
by: Tay, km
Published: (2015) -
Clustering and visualization of failure modes using an evolving tree
by: Wui, Lee Chang, et al.
Published: (2015) -
A Human-In-The-Loop System for Clustering and Visualization of Failure Modes in FMEA
by: Sheng Wei, Toh
Published: (2022) -
A Human-In-The-Loop System for Clustering and Visualization of Failure Modes In FMEA
by: Sheng Wei, Toh
Published: (2022)