Recently, systems such as chemical and nuclear plant systems have been increasing in scale and complexity. In these systems, once 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 on-line 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.
|Number of pages
|Published - 1994
|Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - Las Vegas, NV, USA
Duration: 1994 Oct 2 → 1994 Oct 5
|Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
|Las Vegas, NV, USA
|94/10/2 → 94/10/5