中文摘要
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Aiming at the problem that there are many influencing factors and difficult control of boiler water cooling wall in the past, according to the temperature curve data of different water cooling wall pipelines, a variety of data characteristics are extracted according to the actual engineering environment for standardization, and the dimensional influence between different characteristic variables is eliminated. Combined with the entropy weight method, TOPSIS is improved, the weights of each index are calculated, the positive and negative ideal solution distances are found in combination with the size between the data, and a comprehensive evaluation is carried out. Finally, the boiler water wall temperature is highly optimized, laying the foundation for its accurate regulation.
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参考文献
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Tang Guangrui,Zhang Yong,Chang Yan. Effectiveness Evaluation of “Five Chain” Integration of State Grid Corporation of China Based on TOPSIS Method[J]. E3S Web of Conferences,2021,236.
連結:
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Bi Jun Xi,Fan Wen Ze,Wang Ying,Ren Jun,Li Hai Bin. A Fault Diagnosis Algorithm for Wind Turbine Blades Based on BP Neural Network[J]. IOP Conference Series: Materials Science and Engineering, 2021, 1043(2).
連結:
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Ghosh, Debashis,Roy, Himadri,Saha, Atanu,Subramanian, Chidambaram. Failure Analysis of Boiler Water Wall Tube: A Case Study from Thermal Power Plant[J]. Journal of Failure Analysis and Prevention, 2022(prepublish).
連結:
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