Sistema de monitoreo para la detección del estado de vías aplicando técnicas de instrumentación basadas en técnicas de minería de datos a partir de variables electromecánicas
Coal mining is currently going through a period of recession which is leading senior management to look for new tools to optimize processes and stay active in mining market. One of the action points considered is the management of equipment maintenance due to the poor condition of the roads, making...
- Autores:
-
Ibáñez Noriega, Iván
Silva Ortega, Jorge Iván
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/633
- Acceso en línea:
- https://hdl.handle.net/11323/633
https://repositorio.cuc.edu.co/
- Palabra clave:
- Monitoreo de vías
Minería de datos
Sistemas de comunicaciones CAN J1939
Redes neuronales
Track monitoring
Data mining
J1939 CAN communication systems
Neural networks
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
| Summary: | Coal mining is currently going through a period of recession which is leading senior management to look for new tools to optimize processes and stay active in mining market. One of the action points considered is the management of equipment maintenance due to the poor condition of the roads, making necessary the implementation of effective methodologies to make adjustments to the optimal inventory point. Among the techniques that consider data mining are the so-called SOM acronym in English for "Self-Organizing Map", which allows the user to train an algorithm and make a map on the associated input variables through patterns, to generate a response based on these in order to clear doubts or establish reference points. This research considered as input variables the databases with selected variables of electromechanical relevance of a fleet of mining trucks, where the neural network algorithm will associate these data and find patterns that facilitate to determine through a mathematical analysis the condition of roads with a high degree of reliability, this information is a key piece for planners to establish the necessary maintenance routines and determine the optimal point of dispatch of resources of support equipment for repair. |
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