Analog Data Fusion Diagnoses in Power Plant Based on Bayesian Theory
Quan Zou · Proceedings of the CSEE · 2006
Lots of analog redundant data seems indepen-dent and the connotation is associated via object during measuring process in power plant.An analog data fusion diagnostic method in power plant based on Bayesian Theory is introduced,and the calculation formula of measuring model coefficient in two situations(covariance known and unknown)is ratiocinated.It is believed that residual error fusion based on data distribution rule could diagnose measuring data in thermo-technical process.For example,during the measuring of ST power in a certain 300MW plant,abnormity could be directly diagnosed with the data fusion method based on Bayesian Theory.