Ponencia
Multiple decision trees to diagnose a transient state of dynamic systems. Application to a DC motor.
Autor/es | Suárez Fábrega, Antonio J.
Abad Herrera, Pedro J. Martínez Gasca, Rafael Ortega Ramírez, Juan Antonio |
Coordinador/Director | Ortega Ramírez, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2005-06 |
Fecha de depósito | 2023-05-30 |
Publicado en |
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ISBN/ISSN | 84-689-3357-0 |
Resumen | In this paper, a novel methodology is proposed to diagnose a transient state of a dynamic system using supervised learning. lt is composed by two steps: one off-line process and another on-Iine process. The off-line phase ... In this paper, a novel methodology is proposed to diagnose a transient state of a dynamic system using supervised learning. lt is composed by two steps: one off-line process and another on-Iine process. The off-line phase begins gathering data from the system, both when it is running free of fault and when the system is running in each fault mode. Also, it is possible to generate these data from Monte Cario simulations of a system model. A segmentation and normalization algorithm is used to reduce the large amount of gathered data. The final step of the off-line process is the generation of a decision tree by a classification tool. The on-lme process of the methodology consists in evaluating a new reading of the system sensors with the generated decision trees. The system diagnosis is the result of this evaluation which has a linear computational cost due to the simplicity of the decision trees. In arder to improve diagnosability problems of this methodology, it is proposed a new solution in this work. Instead of generating only one decision tree, a different decision tree is generated for each fault mode and free of fault mode. Therefore multiple possibilities of diagnosis can be offered for a given behaviour of dynamic system. Methodology has been applied to diagnose a DC motor. Eight different faults have been considered and the results have been discussed including diagnosability conflicts. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España |
Identificador del proyecto | DPl2003-07146-C02-01 |
Cita | Suárez Fábrega, A.J., Abad Herrera, P.J., Martínez Gasca, R. y Ortega Ramírez, J.A. (2005). Multiple decision trees to diagnose a transient state of dynamic systems. Application to a DC motor.. En VII Jornadas ARCA: Sistemas Cualitativos y Diagnosis (JARCA´05) (53-59), Benalmádena, Málaga: Edición Digital @tres. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Multiple decision trees.pdf | 4.385Mb | [PDF] | Ver/ | |