The invention discloses a method for identifying a flow characteristic curve of a governing valve for a
steam turbine through a DCS (
Distributed Control System)
data mining technique. The method for identifying the flow characteristic curve of the governing valve for the
steam turbine through the DCS
data mining technique comprises the following steps of a, selecting sampling points relevant to the flow characteristic analysis of the governing valve, and obtaining DCS data; b, dividing the DCS data into
data mining objects, auditing abnormal values in the data mining objects, and calculating the average value, the range and the slope of each sampling point of the data mining objects; c, carrying out
dimensionality reduction on the range and the slope of each data mining object by applying a
principal component analysis method; d, carrying out clustering on the running state of the governing valve by applying
DBSCAN (Density-Based
Spatial Clustering of Applications with
Noise); e, correcting the data mining objects to rated boundary parameters by applying variable working condition characteristics of the
steam turbine, a category-I correction curve and a category-II correction curve; f, fitting the data mining objects by applying a moving least-square method to obtain the flow characteristic curve of the governing valve for the steam
turbine. The method for identifying the flow characteristic curve of the governing valve for the steam
turbine through the DCS data mining technique can be used for identifying the flow characteristic curve of the governing vale of the steam
turbine under the rated boundary parameters, and can be used for the parameter setting and optimization of a controller, so as to guarantee a generator set to run safely, stably and economically.