Fault diagnosis of plant systems using immune networks
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Recently, systems such as chemical and nuclear plant systems have been increasing in scale and complexity. In these systems, when a certain device (unit) in a plant system becomes faulty, its influence propagates through the whole system, and then causes a fatal situation. To construct the safety and reliability of plant systems, the necessity for an efficient fault diagnosis technique is increasingly demanded. On the other hand, biological systems such as human beings can be said to be the ultimate information processing system, and are expected to provide feasible ideas to engineering fields. Among the information processing systems in biological systems, immune systems work as online fault diagnosis systems by constructing large-scale networks, called immune networks (idiotypic networks). In this study, we try to apply these immune networks to a fault diagnosis of plant systems. And the feasibility of our proposed method is confirmed by simulations.Keywords
This publication has 15 references indexed in Scilit:
- Immune networks for cement plantsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The immune system, adaptation, and machine learningPhysica D: Nonlinear Phenomena, 1986
- The generative grammar of the immune systemBioscience Reports, 1985
- Idiotypic Networks and Other Preconceived IdeasImmunological Reviews, 1984
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- Failure propagating simulation and nonfailure paths search in network systemsAutomatica, 1982
- A GRAPHICAL APPROACH TO THE PROBLEM OF LOCATING THE ORIGIN OF THE SYSTEM FAILUREJournal of the Operations Research Society of Japan, 1980
- A graphical approach to cause and effect analysis of chemical processing systemsChemical Engineering Science, 1980
- An algorithm for diagnosis of system failures in the chemical processComputers & Chemical Engineering, 1979
- The Immune SystemScientific American, 1973