Title :
Model- and knowledge-based fault detection and diagnosis of gas transmission networks
Author :
Perschl, Franz ; Schmidt, Günther
Author_Institution :
Div. for Autom. Control Eng., Tech. Univ. Munchen, Germany
Abstract :
This paper describes an expert system for online fault detection and diagnosis of gas transmission networks, combining model- and knowledge-based methods. It consists of a set of hierarchically structured components which include signal processing, Luenberger-type state observation, rule-based knowledge processing as well as an advanced user interface. The diagnosis system was tested with real measurement data from a medium sized gas distribution network. Its real-time capability and effectiveness for basic fault detection purposes was demonstrated by industrial applications
Keywords :
diagnostic expert systems; fault diagnosis; knowledge based systems; natural gas technology; observers; real-time systems; signal processing; user interfaces; Luenberger-type state observation; fault diagnosis; gas transmission networks; knowledge-based fault detection; model-based methods; online fault detection; real-time system; rule-based knowledge processing; signal processing; user interface; Application software; Automatic control; Diagnostic expert systems; Fault detection; Fault diagnosis; Knowledge engineering; Observers; Pipelines; Signal processing; User interfaces;
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
DOI :
10.1109/ICSMC.1993.384834
