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Proceedings Paper

Research of power plant parameter based on the principal component analysis method
Author(s): Yang Yang; Di Zhang
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Paper Abstract

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.

Paper Details

Date Published: 15 November 2011
PDF: 7 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 833508 (15 November 2011); doi: 10.1117/12.917401
Show Author Affiliations
Yang Yang, Bohai Univ. (China)
Di Zhang, Jinzhou Power Generation Co., Ltd. (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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