In-Situ Testing of Operation Stability in Hydraulic Turbine Generator Unit

2008 ◽  
Author(s):  
Shanshan Wang ◽  
Pizhong Qiao
Keyword(s):  
Hydraulic Turbine ◽  
In Situ Testing ◽  
Turbine Generator ◽  
Operation Stability ◽  
Generator Unit

Priority analysis for risk factors of equipment in a hydraulic turbine generator unit

2019 ◽  
Vol 58 ◽  
pp. 1-7 ◽  
Author(s):  
Beibei Xu ◽  
Diyi Chen ◽  
Huanhuan Li ◽  
Keyun Zhuang ◽  
Xiao Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hydraulic Turbine ◽  
Turbine Generator ◽  
Generator Unit

Hybrid reliability model of hydraulic turbine-generator unit based on nonlinear vibration

2013 ◽  
Vol 228 (11) ◽  
pp. 1880-1887 ◽  
Author(s):  
Zhaojun Li ◽  
Yang Liu ◽  
Fuxiu Liu ◽  
Xujuan Yang
Keyword(s):  
Nonlinear Vibration ◽  
Multiple Scales ◽  
Hydraulic Turbine ◽  
Reliability Model ◽  
Turbine Generator ◽  
Nonlinear Dynamic Equation ◽  
Shaft System ◽  
Hybrid Reliability ◽  
Generator Unit ◽  
Excitation Frequencies

In order to study the vibration reliability of hydraulic turbine-generator unit, the nonlinear dynamic equation of the main shaft system of hydraulic turbine-generator unit is established by the finite element method. Then the nonlinear vibration characteristics of the system are analyzed and the excitation frequencies of the system are obtained by the method of multiple scales. Based on the criterion that the absolute values of difference between the natural frequencies and excitation frequencies of the system should be less than specific values, the hybrid probabilistic, nonprobabilistic, and fuzzy reliability model of the system based on nonlinear vibration is constructed. By the hybrid reliability model, the reliability of system can be calculated. Finally, an example is presented.

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.

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