Study of the Power-backpressure Characteristics for the Ultra-supercritical Steam Turbine Unit

Author(s):  
Tao Yan ◽  
Yan Zheng ◽  
Zhong-Hai wan ◽  
Yang-Hui Wu ◽  
Xiao-Bo Wang
2020 ◽  
Vol 67 (11) ◽  
pp. 800-804
Author(s):  
K. E. Aronson ◽  
B. E. Murmansky ◽  
V. B. Novoselov ◽  
Yu. M. Brodov ◽  
A. Yu. Sosnovsky ◽  
...  

Author(s):  
Di Guo ◽  
Nian-su Hu ◽  
Jian-mei Wang ◽  
Mei Huang ◽  
Yong-hui Liu ◽  
...  

2020 ◽  
Vol 209 ◽  
pp. 106549
Author(s):  
Nianci Lu ◽  
Lei Pan ◽  
Zhenxiang Liu ◽  
Kwang Y. Lee ◽  
Yajun Song ◽  
...  

2014 ◽  
Vol 496-500 ◽  
pp. 953-957
Author(s):  
Xiao Wen Deng ◽  
Yan Peng Han ◽  
Cheng Cheng Wang ◽  
Yu Jiong Gu

A fault diagnosis method of steam turbine based on the theory of super ball is proposed, which combines density clustering with hierarchical clustering. The correlation of vibration and thermal parameters is introduced as the clustering factors. The efficiency of diagnosis,the sensitivity of noise and the accuracy of diagnosis are improved. Experiments show that the method and the selection of clustering factor are feasible.


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