Fault Detection in Industrial Air - Processing Sensors Controlled System
Journal Title: RECENT - Year 2009, Vol 10, Issue 27
Abstract
The paper describes the development of enhanced model-based and knowledge-based techniques, which are used for fault detection in air-processing, sensors controlled system, under real operation conditions. The developed modelling equations, knowledge based techniques and fuzzy logic decisions are applied for providing reliability enhancement and fault tolerance in industrial air-processing system, which represents an integral part of a general waste-processing system, designed for a zing galvanizing facility.
Authors and Affiliations
Konstantin DIMITROV
Keywords
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