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It is very important for operators to be informed of the departure from nucleate boiling ratio (DNBR) to prevent the fuel cladding from melting and causing a boiling crisis. Artificial intelligence methods such as neural networks and support vector regression (SVR) have extensively and successfully been applied to nonlinear function approximation. In this paper, fuzzy support vector regression (FSVR)...
In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In the previous study, principal component-based auto-associative support vector regression (PCSVR)...
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