Publicação

Neuro-fuzzy fault detection approach using a Profibus network

Detalhes bibliográficos
Resumo:	Generally three methodologies to develop and test FDI algorithms can de distinguished: software benches, hardware benches and industrial data. The current approach uses a hardware bench constructed with components commonly used in industry that consists on a pilot plant under supervision, a supervision unit, a fault detection unit and a fault simulation unit. All elements are connected to a PROFIBUS network that acts as the communication system exchanging information between automation system and distributed field devices. A fault detection methodology, which is based on neuro-fuzzy models, has been developed and implemented. During the current studies actuator faults, sensor faults and leakages have been considered as incipient and abrupt faults. Several studies have also been performed under multiple simultaneous faulty scenarios.
Autores principais:	Calado, João Manuel Ferreira
Outros Autores:	Mendes, Mário J. G. C.; Kowal, Marek; Korbicz, Józef; Costa, J. M. G. Sá da
Assunto:	Neuro-fuzzy Fault detection Fieldbus Abrupt Incipient faults
Ano:	2002
País:	Portugal
Tipo de documento:	documento de conferência
Tipo de acesso:	acesso restrito
Instituição associada:	Universidade Politécnica de Lisboa
Idioma:	inglês
Origem:	Repositório Científico da Universidade Politécnica de Lisboa

Descrição
Resumo:	Generally three methodologies to develop and test FDI algorithms can de distinguished: software benches, hardware benches and industrial data. The current approach uses a hardware bench constructed with components commonly used in industry that consists on a pilot plant under supervision, a supervision unit, a fault detection unit and a fault simulation unit. All elements are connected to a PROFIBUS network that acts as the communication system exchanging information between automation system and distributed field devices. A fault detection methodology, which is based on neuro-fuzzy models, has been developed and implemented. During the current studies actuator faults, sensor faults and leakages have been considered as incipient and abrupt faults. Several studies have also been performed under multiple simultaneous faulty scenarios.

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