A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

Lepuschitz, Wilfried; Jirkovský, Václav; Kadera, Petr; Vrba, Pavel

doi:10.1109/itng.2012.8

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…Configuration applications were pioneered by computer companies as a means of facilitating the manufacture of semi-custom minicomputers. Nowadays, expert systems have found its way into use in a wide range of different industries, from textile industry where fabrics must be optimally cut, to failure detection in factories which consists of deducing faults and suggest corrective actions for malfunctioning devices or processes [26].…”

Section: Fields Of Application That Could Get Benefitmentioning

confidence: 99%

Automated knowledge base management: A survey

Martinez‐Gil¹

2017

Preprint

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A fundamental challenge in the intersection of Artificial Intelligence and Databases consists of developing methods to automatically manage Knowledge Bases which can serve as a knowledge source for computer systems trying to replicate the decision-making ability of human experts. Despite of most of tasks involved in the building, exploitation and maintenance of KBs are far from being trivial, significant progress has been made during the last years. However, there are still a number of challenges that remain open. In fact, there are some issues to be addressed in order to empirically prove the technology for systems of this kind to be mature and reliable.

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Section: Fields Of Application That Could Get Benefitmentioning

confidence: 99%

Automated knowledge base management: A survey

Martinez‐Gil¹

2017

Preprint

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“…En (Kuo and Huang, 2000), un modelo basado en redes de Petri coloreadas y temporizadas es usado para detectar y corregir conductas anormales en los procesos de un SMF. Así mismo, en (Lepuschitz et al, 2012), un enfoque basado en el modelo oculto de Markov usa una topología distribuida de agentes para detectar conductas inesperadas de proceso y fallas en componentes del sistema. Sin embargo, un proceso de aprendizaje es necesario para el reconocimiento correcto de una falla.…”

Section: Introductionunclassified

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

Reyes-Luévano

Ruiz-Beltrán

Castañeda-Ramos

et al. 2018

Rev. iberoam. autom. inform. ind.

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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.

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“…An extension to the management of plug and produce by the agents is described in [19], where an agent-based control system with diagnostic possibilities is presented. Based on Hidden Markov Models the authors introduce several layers for diagnostic of the system.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent System Architecture for Self-configuration

Antzoulatos

Castro

Scrimieri

et al. 2014

Lecture Notes in Computer Science

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International audienceDue to constant globalisation new trends on the market are coming up. One of the trends is the customisation of products for the customer and shorter product life cycles. To overcome the trends industries identified as key element self-reconfigurable production systems. A change to a running system means loss of time, money and manpower. A reconfigurable production system can automatically adapt to changes in terms of changing a machine or a product. The methodology behind is adapted from the office world and is called plug and produce. However, a production system has different requirements which need to be met. Due to a lack of homogeneity of industrial controllers in terms of communication and reconfigurability, as well as the interaction with the end user, the multi-agent technology was identified as a superior communicator. We present a new multilayered multi-agent architecture where the necessary agent types are introduced to fulfil the requirements for plug and produce. One scenario is shown where the architecture is employed to enable plug and produce capabilities and allow the system to adapt itself

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A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

Cited by 8 publications

References 17 publications

Automated knowledge base management: A survey

Automated knowledge base management: A survey

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

A Multi-Agent System Architecture for Self-configuration

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