학술논문
Development of a fault diagnosis system based on fuzzified neural networks in chemical processing plants
Document Type
Conference
Source
2010 World Automation Congress World Automation Congress (WAC), 2010. :1-6 Sep, 2010
Subject
Language
ISSN
2154-4824
Abstract
Failure of chemical plants is very dangerous. Although such failure is solvable with extension of a sensor, and an increase of the operator, a huge amount of funds are required for these initiatives, and it cannot be realized easily. A model has been built by neural networks, and a diagnosis method using that model was proposed. In this paper, we propose the alternative diagnosis method using fuzzified neural networks.