Real Time Intelligent Signal Validation in Power Plants

Abstract The validation of data from sensors has become an important issue in the operation and control of modern power plants. One approach is to use knowledge based techniques to detect inconsistencies in measured data. These techniques involve two challenges: real time performance and the use of reasoning methodsunder uncertainty. A promising approach to reasoning about uncertainty is to use Bayesian or causal networks. On their own. “these networks do not address the problem of returning an answer in a limited amount of time. This article therefore develops an extension of Bayesian networks so that inconsistencies can be detected in real-time. The extensions proposed involve the addition of temporal relationships to Bayesian networks and the adoption of a layered architecture to facilitate any time behaviour