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Vibration displacement measurement of flexible manipulator using machine vision
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Science & Technology Review | 2018, 36(13) : 82 - 87
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Science & Technology Review | 2018, 36(13): 82-87
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Vibration displacement measurement of flexible manipulator using machine vision
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MA Tianbing, LIU Jian, DU Fei, CHEN Nannan
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    College of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China
Published: 2018-07-13 doi: 10.3981/j.issn.1000-7857.2018.13.011
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Of traditional vibration displacement measurement methods, the indirect measurement method has its large error and low accuracy while the direct measurement method can achieve accuracy with high cost and poor utility. So a vibration displacement measurement method using machine vision is proposed. A motor-driven flexible arm is selected as the measurement object. A CCD camera is used to collect the motion image of the marker on the arm's manipulator. After the visual processing such as threshold segmentation and centroid detection, the vibration displacement information of the manipulator is obtained. An experimental platform is built to verify the method. The result is compared with the vibration displacements obtained by piezoelectric material measurement method and the simulation method. It is shown that the machine vision-based vibration displacement measurement method can be well applied to the flexible arm without any contacts. The accurate and real-time vibration displacement measurement of the arm is superior to the piezoelectric material measurement method, avoiding the influence of formula errors and other effects, and has obvious advantages.
vibration displacement  /  flexible arm  /  machine vision  /  piezoelectric material
马天兵, 刘健, 杜菲, 陈南南. 基于机器视觉的柔性机械臂振动位移测量. 科技导报, 2018 , 36 (13) : 82 -87 . DOI: 10.3981/j.issn.1000-7857.2018.13.011
MA Tianbing, LIU Jian, DU Fei, CHEN Nannan. Vibration displacement measurement of flexible manipulator using machine vision[J]. Science & Technology Review, 2018 , 36 (13) : 82 -87 . DOI: 10.3981/j.issn.1000-7857.2018.13.011
Year 2018 volume 36 Issue 13
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doi: 10.3981/j.issn.1000-7857.2018.13.011
  • Receive Date:2017-11-16
  • Online Date:2018-07-23
  • Published:2018-07-13
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  • Received:2017-11-16
  • Revised:2018-06-05
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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