| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 3.04 MB | Adobe PDF |
Orientador(es)
Resumo(s)
This paper presents the second stage, of a two-stage neuro-fuzzy system, used for fault isolation (FI) in dynamic processes and it`s built using a hierarchical structure of fuzzy neural networks. The current approach is tested under a hardware bench constructed with componentes commonly used in the industry and consists on a pilot plant under supervision, a supervision unit, a fault detection and isolation unit and a fault simulation unit. All the elements are connected to a PROFIBUS network, which acts as the communication system for exchanging information between the automation system and the distributed field devices.
Descrição
Palavras-chave
Fault diagnosis Fault isolation Neural network Fuzzy logic Hierarchical structure Benchmark exemples
Contexto Educativo
Citação
MENDES, Mário J. G. C.; [et al] – Fault isolation approach using a PROFIBUS network: a case study. In Proceedings of CONTROLO’2002 - 5th Portuguese Conference on Automatic Control. Aveiro, Portugal, 2002. Pp. 525 – 530