Vision-Aided Brush Alignment Assembly System for Precision Conductive Slip Rings

被引:6
|
作者
Chen, Xiaobo [1 ,2 ]
Wang, Yukun [1 ,2 ]
Sheng, Ying [1 ,2 ]
Yu, Chengyi [3 ]
Yang, Xiao [1 ,2 ]
Xi, Juntong [1 ,2 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] Shanghai Key Lab Adv Mfg Environm, Shanghai 200240, Peoples R China
[3] Shanghai Satellite Equipment Res Inst, Shanghai 200240, Peoples R China
[4] State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
conductive slip ring; brush alignment assembly; machine vision; image processing; DEFECT INSPECTION; SURFACE FINISH; MACHINE;
D O I
10.3390/machines10050393
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The alignment precision of manual brush assembly for a precision conductive slip ring is critical to its performance of reliability and service lifetime. Currently, the alignment precision cannot be guaranteed since it largely depends on the operator's experiences and skill level. In this paper, a machine vision-aided method is proposed to measure the ring groove positions as the brush alignment objective, and track the relative brush position deviation during the manual brush alignment assembly. A vision-aided brush alignment assembly system is also developed to provide quantitative position deviation for the precise alignment of the brush and the ring groove, ensuring higher alignment accuracy and efficiency. The experimental results indicate that, with the developed system, the brush alignment assembly accuracy can be controlled within +/- 0.02 mm.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Data fusion for a vision-aided radiological detection system: Correlation methods for single source tracking
    Stadnikia, Kelsey
    Henderson, Kristofer
    Koppal, Sanjeev
    Enqvist, Andreas
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 954 (954):
  • [32] A Vision-aided Inertial Navigation System for Agile High-speed Flight in Unmapped Environments
    Steiner, Ted J.
    Truax, Robert D.
    Frey, Kristoffer
    2017 IEEE AEROSPACE CONFERENCE, 2017,
  • [33] EM and Vision-Aided Multisensor Fusion Homing Guidance System (MSF-HGS) for Intelligent AUVs
    Vandavasi, Bala Naga Jyothi
    Shakeera, Shaik
    Narayanaswamy, Vedachalam
    Gidugu, Ananda Ramadass
    Venkataraman, Hrishikesh
    IEEE SENSORS JOURNAL, 2025, 25 (01) : 1912 - 1926
  • [34] Data Fusion for a Vision-aided Radiological Detection System: Correlation Methods for Multi-source Scenarios
    Stadnikia, K.
    Henderson, K.
    Koppal, S.
    Enqvist, A.
    2018 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE PROCEEDINGS (NSS/MIC), 2018,
  • [35] DEVELOPING MOVING HORIZON ESTIMATION BASED RANGING MEASUREMENT FOR SUPPORTING VISION-AIDED INERTIAL NAVIGATION SYSTEM
    Trung Nguyen
    Mann, George K. I.
    Vardy, Andrew
    Gosine, Raymond G.
    PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 2, 2017,
  • [36] Rigid and Flexible Structures Coupled System Study and Enhanced Vision-Aided Control for a Versatile Cable Winding Robot
    Jiang, Xu
    Zhang, Jun
    Zhang, Yaning
    Song, Aiguo
    Zhu, Bo
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 29 (06) : 4618 - 4629
  • [37] A Stereo Vision-Aided Receding Horizon Vehicle Dynamic Control System for Independent Drive Vehicles Steered by Wire
    Lee, Hyoung-Woong
    Hong, Sangseok
    Han, Soohee
    IEEE ACCESS, 2021, 9 : 147591 - 147599
  • [38] Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results
    Li, Kehui
    Zhou, Binggui
    Guo, Jiajia
    Yang, Xi
    Xue, Qing
    Gao, Feifei
    Ma, Shaodan
    2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING, 2024,
  • [39] Photometric computer vision-aided system for psoriasis severity scoring: a preclinical study based on a mouse model of psoriasis
    El Kabir, Taoufik
    Bringier, Benjamin
    Khoudeir, Majdi
    Morel, Franck
    Lecron, Jean-Claude
    Jegou, Jean-Francois
    JOURNAL OF ELECTRONIC IMAGING, 2020, 29 (04)
  • [40] A Vision-Aided Navigation System by Ground-Aerial Vehicle Cooperation for UAV in GNSS-Denied Environments
    Wang, Zi-Hao
    Zhang, Te
    Qin, Kai-Yu
    Zhu, Bo
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,