会议论文详细信息
4th International Conference on Advanced Composite Materials and Manufacturing Engineering 2017
Application test of a Detection Method for the Enclosed Turbine Runner Chamber
材料科学;化学
Liu, Yunlong^1,2 ; Shen, Dingjie^1,2 ; Xie, Yi^1,2 ; Yang, Xiangwei^1,2 ; Long, Yi^1,2 ; Li, Wenbo^1,2
State Grid Hunan Electric Power Company Research Institute, Changsha, China^1
Hunan Xiangdian Test Research Institute Co.Ltd., Changsha, China^2
关键词: Acquisition device;    Automatic detection method;    Detection methods;    Existing problems;    Real-time collection;    Real-time detection;    Real-time image acquisitions;    Simulation comparison;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/207/1/012086/pdf
DOI  :  10.1088/1757-899X/207/1/012086
学科分类:材料科学(综合)
来源: IOP
PDF
【 摘 要 】

At present, for the existing problems of the testing methods for the key hidden metal components of the turbine runner chamber, such as the poor reliability, the inaccurate locating and the larger detection blind spots of the detection device, under the downtime without opening the cover of the hydropower turbine runner chamber, an automatic detection method based on real-time image acquisition and simulation comparison techniques was proposed. By using the permanent magnet wheel, the magnetic crawler which carry the real-time image acquisition device, could complete the crawling work on the inner surface of the enclosed chamber. Then the image acquisition device completed the real-time collection of the scene image of the enclosed chamber. According to the obtained location by using the positioning auxiliary device, the position of the real-time detection image in a virtual 3D model was calibrated. Through comparing of the real-time detection images and the computer simulation images, the defects or foreign matter fall into could be accurately positioning, so as to repair and clean up conveniently.

【 预 览 】
附件列表
Files Size Format View
Application test of a Detection Method for the Enclosed Turbine Runner Chamber 224KB PDF download
  文献评价指标  
  下载次数:8次 浏览次数:26次