| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 3.04 MB | Adobe PDF |
Advisor(s)
Abstract(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.
Description
Keywords
Fault diagnosis Fault isolation Neural network Fuzzy logic Hierarchical structure Benchmark exemples
Citation
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