Detección y Aislamiento de Fallas en Sistemas de Manufactura desde el Enfoque de Redes Complejas

• Autores: Juan Reyes Luévano, E. Ruiz Beltrán, Luis Antonio Castañeda Ramos, Jorge Luis Orozco Mora
• Localización: Revista iberoamericana de automática e informática industrial ( RIAI ), ISSN-e 1697-7920, Vol. 16, Nº. 1, 2019, págs. 36-47
• Idioma: español
• DOI: 10.4995/riai.2018.9662
• Títulos paralelos:
  • Failure Detection and Location on Manufacturing Systems: a Complex Network Approach
• Enlaces
  • Texto completo
• Resumen
  • español

    En este trabajo se presenta una metodología de modelado, detección y aislamiento de fallas en la parte operativa de los Sistemas de Manufactura Flexible (SMF), desde el enfoque de la teoría de Redes Complejas (RC). Como resultado, se propone un esquema en línea de detección y localización de fallas, basado en la simetría estructural de interrelación y la dinámica no distinguible del modelo de red compleja. Además, se implementa un segundo esquema que se basa en la detección de una falla, a través de la observación de un cambio abrupto (producido por la falla) en la derivada de i-ésimo orden de las variables de estado, de una red de sistemas Lineales e Invariantes en el tiempo (LIT). En este contexto, un sistema de monitoreo en línea y adquisición de señales es desarrollado para validar los esquemas antes descritos en una Línea de Proceso de Enlatado (LPE). Los resultados teóricos y experimentales validan los esquemas y confirman la existencia de fenómenos como auto regulación, simetría y organización, en los sistemas de manufactura.

  • English

    This paper presents a modeling methodology, detection and isolation of faults on the operative part of Flexible Manufacturing Systems (FMS) through a Complex Networks (CN) approach. As a result, an online fault detection and location scheme is proposed, based on the structural symmetry of interrelation and the non-distinguishable dynamic of the complex network model. Moreover, a second scheme is implemented, which is based on the detection of a fault through the observation of an abrupt change (produced by the fault) in the ith order derivatives of the state variables on Linear Time-Invariant (LTI) system’s networks. In this context, an online monitoring and signal acquisition system was developed to validate the schemas described above on a Canning Process Line (CPL). The theoretical and experimental results validate the schemas and confirm the existence of phenomena like self-regulation, symmetry and organization, in manufacturing systems.

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