A STUDY OF ON-LINE MONITORING UNCERTAINTY BASED ON LATIN HYPERCUBE SAMPLING AND WAVELET DE-NOISING

摘要

Periodic calibration of all safety related instrument channels is required by Technical Specifications of commercial nuclear power plants. On-line monitoring is an alternative to traditional time-directed calibration. An implementation sponsored by EPRI uses on-line monitoring technology based on nonparametric multivariate techniques. One such technique is the Multivariate State Estimation Technique, which has found wide application in the on-line monitoring project. A critical issue for acceptance in nuclear industry is the uncertainty associated with on-line estimation. In order to quantify this uncertainty, we have developed a simulation-based approach to uncertainty analysis, which includes instrument channel data pre-processing based on wavelet de-noising, Latin Hypercube Sampling for simulations and uncertainty evaluations, and a database for storage and statistical analysis of simulation results.