Experience in developing and introducing an automated monitoring and diagnostic system for a turbine-generator unit at the Onda hydroelectric station

1999 ◽  
Vol 33 (11) ◽  
pp. 644-646
Author(s):  
A. E. Aleksandrov ◽  
Yu. N. Irtegov ◽  
V. I. Rybakov
Keyword(s):  
Hydroelectric Station ◽  
Diagnostic System ◽  
Turbine Generator ◽  
Automated Monitoring ◽  
Generator Unit

Vibration monitoring and diagnostic system of a turbine-generator unit

1988 ◽  
Vol 22 (7) ◽  
pp. 427-430
Author(s):  
V. I. Kolesnikov ◽  
V. F. Dolgii ◽  
A. N. Chakhirev ◽  
V. E. Semenikhin
Keyword(s):  
Diagnostic System ◽  
Vibration Monitoring ◽  
Turbine Generator ◽  
Generator Unit

Results of full-scale tests of the thrust bearing with elastic metal-plastic segments for the turbine-generator unit at the Bratsk hydroelectric station

1982 ◽  
Vol 16 (6) ◽  
pp. 348-353 ◽  
Author(s):  
Yu. I. Baiborodov ◽  
A. V. Tereshchenko ◽  
A. E. Aleksandrov ◽  
V. S. Shchetkin ◽  
I. B. Pokrovskii ◽  
...  
Keyword(s):  
Thrust Bearing ◽  
Hydroelectric Station ◽  
Full Scale ◽  
Turbine Generator ◽  
Generator Unit ◽  
Full Scale Tests

Nonlinear modal interaction analysis and vibration characteristics of a francis hydro-turbine generator unit

2021 ◽  
Vol 168 ◽  
pp. 854-864
Author(s):  
Beibei Xu ◽  
Xingqi Luo ◽  
Mònica Egusquiza ◽  
Wei Ye ◽  
Jing Liu ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Vibration Characteristics ◽  
Modal Interaction ◽  
Turbine Generator ◽  
Hydro Turbine ◽  
Nonlinear Modal Interaction ◽  
Generator Unit

Application of Improved Genetic Algorithm in Maintenance Decision for Turbine-Generator Unit

2010 ◽  
Vol 44-47 ◽  
pp. 2940-2944
Author(s):  
Qing He ◽  
Jian Ding Zhang
Keyword(s):  
Genetic Algorithm ◽  
Heuristic Algorithms ◽  
Maintenance Scheduling ◽  
Improved Genetic Algorithm ◽  
Turbine Generator ◽  
Executive Process ◽  
Generator Unit ◽  
Maintenance Decision ◽  
Constrained Conditions ◽  
Operating Unit

The complicated function relations are more prone to appear in the maintenance scheduling of steam-turbine generator unit. Many constrained conditions are often attendant with these function relations. In these situations, the traditional method often can not obtain the exact value. The genetic algorithm (GA), a kind of the heuristic algorithms, does not need the function own good analytic properties. In addition, as the operating unit of GA is the group, so it applies to the parallel computing process. In GA executive process, the offspring continually inherit the genes from the parents, so it is more prone to be involved in the local convergence. An improved genetic algorithm is proposed and used in the model of maintenance decision of turbine-generator unit under. The goal of the model is to seek to the rational maintenance scheduling of the generator unit, so as to minimize the sum of the maintenance expense, the loss of the profit on the generated energy, and the loss of the penalty. It is proved by the example that IGA is highly efficient.

Study on Torsional Shaft Vibration Response of Turbine-Generator Unit

1992 ◽  
pp. 319-326
Author(s):  
Huang Xiuzhu ◽  
Zhang Xueyan ◽  
Sun Daixia
Keyword(s):  
Vibration Response ◽  
Turbine Generator ◽  
Generator Unit ◽  
Shaft Vibration
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