Fuzzy Inference System for Modelling Failure Modes in a Ropeway for Massive Transportation

DOI

10.2991/aiie-15.2015.32How to use a DOI?

Keywords

fuzzy inference systems; ropeway; massive transportation systems; condition based maintenance

Abstract

This work uses Fuzzy Inference Systems to model the failure modes of the Metrocable (ropeway massive transportation system in Medellín-Colombia) and to this aim, handle the concept of Condition Based Maintenance (CBM) for the automation of maintenance routine. Maintenance procedures in this massive transportation ropeway system have been designed from manufacturer and improved by expert knowledge trough years of operation, so they can be modeled by fuzzy models. The following work is part of the project "Diagnostic system of the interface grip-cable of the Metrocable", developed between the entities COLCIENCIAS, Metro de Medellin and Universidad EAFIT.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - L.F. Villa
AU  - O.L. Quintero Montoyab
AU  - L. Castañedaa
AU  - G. Mejíac
PY  - 2015/07
DA  - 2015/07
TI  - Fuzzy Inference System for Modelling Failure Modes in a Ropeway for Massive Transportation
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.32
DO  - 10.2991/aiie-15.2015.32
ID  - Villa2015/07
ER  -