Research of power plant parameter based on the Principal Component Analysis method

摘要

With the development of power technology and the expansion of power plants, plant operation monitoring points are increasing at the same time. A large number of data parameters let technicians obtain more information about unit running, but adjusting and processing the data processing are inconvenient. Principal Component Analysis was used for the real-time data analysis in the thermal power plant unit running. New variables can be obtained from the multi-parameter indicators by knowledge mining. Since the new-variables are pairwise uncorrelated which can reflect most of original data information, they can provide the basis for optimal operation and adjustment of the actual production units. It will also play an important role in the factory data processing and related fields.