Application of Fuzzy Recognition Model for the Diversion Structures Safety Evaluation at Small Hydropower Stations

Ming Li; Xue Feng Yu; Yuan Dong Wei

doi:10.4028/www.scientific.net/AMM.687-691.3686

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Application of Fuzzy Recognition Model for the...

Application of Fuzzy Recognition Model for the Diversion Structures Safety Evaluation at Small Hydropower Stations

Abstract:

In this passage is about the safety evaluation on the conveyance structure of small hydroelectric power station. Applying Binary comparative indicators to determine the weights and fuzzy recognition model on the conveyance structure of small hydroelectric power station’s assessment. Compared other models with fuzzy recognition model which will be explained in detail in the next section on a specific small hydropower station. The results show that the fuzzy recognition model is feasible and effective on safety evaluation on the conveyance structure of the hydroelectric power station.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3686-3690

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3686

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Cite this paper

Online since:

November 2014

Authors:

Ming Li*, Xue Feng Yu, Yuan Dong Wei

Keywords:

Binary Comparison, Fuzzy Recognition, Safety Evaluation, Small Hydropower

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* - Corresponding Author

References

[1] Dai Shuangxi. Small hydropower station diversion structures fuzzy comprehensive safety assessment[J].

Google Scholar

[2] Wu Zhongru. The dam safety monitoring theory and test technology[M].

Google Scholar

[3] Li Lei, Wang Renzhong, Sheng JinBao. Dam risk evaluation and risk management[M].

Google Scholar

[4] Li Gongxuan，Cai Xin，Xu Jincai. Considering the time-varying effect of the hydraulic metal structure safety risk assessment model[J].

Google Scholar

[5] Chen Shouyu, Chai Chunling. To evaluate the sustainable utilization of regional water resources fuzzy variable evaluation method[J].

Google Scholar

[6] Li Yi. Small hydropower hydraulic structure health diagnosis of grey theory model[J].

Google Scholar

[7] Mou Lili，Yu Xuefeng，Zhang Xiaowei. Based on the fuzzy recognition model of groundwater quality evaluation[J].

DOI: 10.1109/wcica.2010.5554858

Google Scholar

[8] Wang Xiaofei. Fuzzy comprehensive evaluation model in the application of the rural hydropower station operation safety assessment[J].

Google Scholar

[9] Chen Shouyu. Engineering fuzzy set theory and application[M].

Google Scholar

[10] Chen Shouyu. Variable fuzzy sets theory and the model and its application[M].

Google Scholar