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

This work uses Fuzzy Inference Systems to model the failure modes of the Metrocable (ropeway massive transportation system in Medellin-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.

[1]  R. A. Collacott,et al.  Mechanical fault diagnosis and condition monitoring , 1977 .

[2]  A structured approach to the selection of condition based maintenance , 1997 .

[3]  Heinz P. Bloch,et al.  Practical Machinery Management for Process Plants: Volume 3: Machinery Component Maintenance and Repair , 1990 .

[4]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[5]  Marcus Bengtsson,et al.  Condition based maintenance systems : An Investigation of Technical Constituets and Organizational Aspects , 2004 .

[6]  Kianoosh Ravaie,et al.  Selecting human machine interface package in integrating a process automation system. , 2002, ISA transactions.

[7]  Zafer Aydogmus,et al.  Implementation of a fuzzy-based level control using SCADA , 2009, Expert Syst. Appl..

[8]  Vladimir Hubka,et al.  Principles of engineering design , 1982 .

[9]  Gunnar Johannsen.  Knowledge-based design of human-machine interfaces , 1993 .

[10]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[11]  Rikard Andersson,et al.  Applied Cognitive Ergonomics Design Principles for Fighter Aircraft , 2011, HCI.

[12]  H. P. Bloch,et al.  Practical machinery management for process plants. Volume 2: Machinery failure analysis and troubleshooting , 1983 .

[13]  Dan M. Frangopol,et al.  A real time human–machine interface for an ultrahigh temperature MEMS sensor–igniter , 2003 .

[14]  Margarita Novales,et al.  Transporte por cable , 2003 .

[15]  Li Zhao,et al.  Multi-mode Human-Machine Interface for Robot , 2011 .

[16]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .