Laser Technology, Volume. 46, Issue 3, 293(2022)

Research on uncertainty minimum ellipsoid envelope model of laser measurement system

LI Yuan, CHAI Yanhong, LIU Lanbo, MAO Zhe, and ZHAI Xinhua
Author Affiliations
  • [in Chinese]
  • show less
    References(27)

    [1] [1] SWYT D A. Length and dimensional measurements at NIST[J]. Journal of research of the National Institute of Standards and Techno-logy, 2001, 106(1): 1-23.

    [2] [2] SHI H Y, GUO T, WANG D, et al. Power line suspension point location method based on laser point cloud[J]. Laser Technology, 2020, 44(3): 364-370(in Chinese).

    [3] [3] SUI Sh Ch, ZHU X Sh. Digital measurement technique for evaluating aircraft final assembly quality[J]. Scientia Sinica Technologica, 2020, 50: 1449-1460(in Chinese).

    [4] [4] DENG Zh P, LI S G, HUANG X. Coordinate transformation uncertainty analysis and reduction using hybrid reference system for aircraft assembly[J]. Assembly Automation, 2018, 38(4): 487-496.

    [5] [5] MEI Z, MAROPOULOS P G. Review of the application of flexible, measurement-assisted assembly technology in aircraft manufacturing[J]. Proceedings of the Institution of Mechanical Engineers, 2014, B228(10): 1185-1197.

    [6] [6] CHEN Z H, DU F Zh, TANG X Q. Research on uncertainty in mea-surement assisted alignment in aircraft assembly[J]. Chinese Journal of Aeronautics, 2013,26(6): 1568-1576.

    [7] [7] DENG Zh Ch, WU Zh Y, YANG J G. Point cloud uncertainty analysis for laser radar measurement system based on error ellipsoid model[J]. Optics and Lasers in Engineering, 2016, 79: 78-84.

    [8] [8] COX M G, HARRIS P M. Measurement uncertainty and traceability[J]. Measurement Science and Technology, 2006, 17(3): 533-540.

    [9] [9] ZHANG F M, QU X H. Fusion estimation of point sets from multiple stations of spherical coordinate instruments utilizing uncertainty estimation based on Monte Carlo[J]. Measurement Science Review, 2012, 12(2): 40-45.

    [10] [10] REN Y, LIN J R, ZHU J G, et al. Coordinate transformation uncertainty analysis in large-scale metrology[J]. IEEE Transactions on Instrumentation and Measurement, 2015, 64(9): 2380-2388.

    [11] [11] ZHU J K, LI L J, LIN X Zh. Research on the measurement field planning of lidar measurement system[J]. Laser Technology, 2021, 45(1): 99-104(in Chinese).

    [12] [12] BERGSTRM P, EDLUND O. Robust registration of point sets using iteratively reweighted least squares[J]. Computational Optimization and Applications, 2014, 58(3): 543-561.

    [13] [13] WANG Q, HUANG P, LI J X, et al. Uncertainty evaluation and optimization of INS installation measurement using Monte Carlo method[J]. Assembly Automation, 2015, 35(3): 221-233.

    [14] [14] JIN Zh J, YU C J, LI J X, et al. Configuration analysis of the ERS points in large-volume metrology system[J]. Sensors, 2015, 15(9): 24397-24408.

    [15] [15] PREDMORE C R. Bundle adjustment of multi-position measurements using the Mahalanobis distance[J]. Precision Engineering, 2010, 34(1): 113-123.

    [16] [16] CALKINS J M. Quantifying coordinate uncertainty fields in coupled spatial measurement systems [D]. Virginia, USA:Virginia Polytechnic Institute and State University,2002,1:48.

    [17] [17] LIU Y, SUN Sh Y. Laser point cloud denoising based on principal component analysis and surface fitting[J]. Laser Technology, 2020, 44(4): 497-502(in Chinese).

    [18] [18] CHEN H S, MA H Zh, CHU X N, et al. Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest[J]. Advanced Engineering Informatics, 2020, 46: 101139.

    [19] [19] SUSTO G A, BEGHI A, MCLOONE S. Anomaly detection through on-line isolation Forest: An application to plasma etching[C] // Proceeding of the 28th Annual SEMI Advanced Semiconductor Ma-nufacturing Conference (ASMC).New York, USA:IEEE, 2017: 89-94.

    [20] [20] LIU F T, TING K M, ZHOU Zh H. Isolation-based anomaly detection[J]. ACM Transactions on Knowledge Discovery from Data, 2012, 6(1):1-39.

    [21] [21] CHEN W R, YUN Y H, WEN M, et al. Representative subset selection and outlier detection via isolation forest[J]. Analytical Methods, 2016, 8(39): 7225-7231.

    [22] [22] KENNEDY J, EBERHART R. Particle swarm optimization[C] // Proceeding of IEEE International Conference on Neural Networks.New York, USA:IEEE, 1995: 1942-1948.

    [23] [23] POLI R, KENNEDY J, BLACKWELL T. Particle swarm optimization[J]. Swarm Intelligence, 2007, 1(1): 33-57.

    [24] [24] ALAM S, DOBBIE G, KOH Y S, et al. Research on particle swarm optimization based clustering: A systematic review of literature and techniques[J]. Swarm and Evolutionary Computation, 2014, 17: 1-13.

    [25] [25] LI Y, XING Y, FANG C, et al. An experiment-based method for focused ion beam milling profile calculation and process design[J]. Sensors and Actuators, 2019, A286: 78-90.

    [26] [26] LI Y, GOSLVEZ M A, PAL P, et al. Particle swarm optimization-based continuous cellular automaton for the simulation of deep reactive ion etching[J]. Journal of Micromechanics and Microengineering, 2015, 25(5): 055023.

    [27] [27] CHEN S Q, ZHANG H Y, ZHAO Ch M, et al. Point cloud registration method based on particle swarm optimization algorithm improved by beetle antennae algorithm[J]. Laser Technology, 2020, 44(6): 678-683(in Chinese).

    Tools

    Get Citation

    Copy Citation Text

    LI Yuan, CHAI Yanhong, LIU Lanbo, MAO Zhe, ZHAI Xinhua. Research on uncertainty minimum ellipsoid envelope model of laser measurement system[J]. Laser Technology, 2022, 46(3): 293

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 10, 2021

    Accepted: --

    Published Online: Jun. 14, 2022

    The Author Email:

    DOI:10.7510/jgjs.issn.1001-3806.2022.03.001

    Topics