document: Fuzzy business -LSB- Halden Reactor Project -RSB- The Halden Reactor Project has developed two systems to investigate how signal validation and thermal performance monitoring techniques can be improved . PEANO is an online calibration monitoring system that makes use of artificial intelligence techniques . The system has been tested in cooperation with EPRI and Edan Engineering , using real data from a US PWR plant . These tests showed that PEANO could reliably assess the performance of the process instrumentation at different plant conditions . Real cases of zero and span drifts were successfully detected by the system . TEMPO is a system for thermal performance monitoring and optimisation , which relies on plant-wide first principle models . The system has been installed on a Swedish BWR plant . Results obtained show an overall rms deviation from measured values of a few tenths of a percent , and giving goodness-of-fits in the order of 95 % . The high accuracy demonstrated is a good basis for detecting possible faults and efficiency losses in steam turbine cycles
doc_bio_tags: O O O B I I O O B I I O O O O O O O O O O B I I O O O O O B O O O B O O O O O O B I O O O O O O O O O O O O O O O O O O O O O B O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O B I I O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I
extractive_keyphrases: halden reactor project peano calibration artificial intelligence pwr tempo thermal performance monitoring bwr steam turbine cycles
abstractive_keyphrases: fuzzy logic steam generators feedwater flow