PREDICTION METHOD FOR WATCHING PERFORMANCE OF POWER PLANT MEASURING INSTRUMENT BY DEPENDENT VARIABLE SIMILARITY AND KERNEL FEEDBACK

摘要

A prediction method for a performance measurement of a power plant is provided to improve the accuracy of the prediction value by setting a standard of similarities between measurements and applying the standard to the weighting calculation. A similarity between the measurements is calculated and displayed as a matrix form(ST1). A sum of euclidean with training data about first test data is calculated(ST2). The similarity expressing a linear reliability between measurement signals is calculated and regularized using training data after above process(ST3). The euclidean distances about the first test data are individually obtained(ST4). Weighting value for the test data is calculated using kernel function(ST6). A prediction value for the first test data is obtained by multiplying training data by weighting value(ST7).