Measurement method and experimental study of complex profile of turbine blade based on image fusion
Li, Qifei1,2; Huang, Qi1; Zhou, Feng1; Li, Zhenggui3
2023
发表期刊Journal of Electronic Imaging
ISSN1017-9909
卷号32期号:1
摘要The hydraulic turbine is the core machinery of tidal power generation, and the performance of the hydraulic turbine determines the installed power and power generation efficiency. The purpose of this paper is to study the measurement method of turbine blades. A method for identifying the turbine blade based on image fusion technology is proposed. Based on the image recognition technology, the complex surface of the turbine blade is preprocessed, and then a method for extracting the complex surface of the turbine blade based on the genetic algorithm is proposed. This can effectively identify images based on image fusion processing, especially after the learning iteration of the genetic algorithm, and can achieve a good recognition effect. The experimental results of this paper show that the algorithm proposed in this paper has a measurement coverage rate of 99.70% for the turbine blades. © 2022 SPIE and IS&T.
关键词Genetic algorithms Hydraulic motors Hydraulic turbines Image fusion Image recognition Iterative methods Tidal power plants Turbine components Complex profile of turbine blade Complex profiles Complex surface Image fusion technology Installed power Measurement methods Performance Power generation efficiency Tidal power generation Turbine blade
DOI10.1117/1.JEI.32.1.011210
收录类别EI ; SCIE
语种英语
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
WOS类目Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
WOS记录号WOS:000965365700015
出版者SPIE
EI入藏号20231013693734
来源库WOS
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/161272
专题新能源学院
作者单位1.Lanzhou University of Technology, College of Energy and Power Engineering, Lanzhou, China;
2.Lanzhou University of Technology, State Key Laboratory of Gansu Fluid Machinery and Systems, Lanzhou, China;
3.Xihua University, Sichuan Provincial Key Laboratory of Fluid Machinery and Engineering, Chengdu, China
第一作者单位能源与动力工程学院;  兰州理工大学
第一作者的第一单位能源与动力工程学院
推荐引用方式
GB/T 7714
Li, Qifei,Huang, Qi,Zhou, Feng,et al. Measurement method and experimental study of complex profile of turbine blade based on image fusion[J]. Journal of Electronic Imaging,2023,32(1).
APA Li, Qifei,Huang, Qi,Zhou, Feng,&Li, Zhenggui.(2023).Measurement method and experimental study of complex profile of turbine blade based on image fusion.Journal of Electronic Imaging,32(1).
MLA Li, Qifei,et al."Measurement method and experimental study of complex profile of turbine blade based on image fusion".Journal of Electronic Imaging 32.1(2023).
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