LIU Shixing∗ (刘士兴), MA Dengke (马登科), LIU Guangzhu (刘光柱) . Wear Detection System for Elevator Traction Sheave[J]. Journal of Shanghai Jiaotong University(Science), 2022 , 27(5) : 706 -714 . DOI: 10.1007/s12204-022-2433-6

[1] WANG H, ZOU H, CHEN D, et al. Analysis of the inspection method for wheel groove wear of elevator traction sheaves [J]. Technology and Market, 2017, 24(11): 158 (in Chinese). [2] NAKAZAWA D, WATANABE S, FUKUI D, et al. Elevator rope tension analysis with uneven groove wear of sheave [J]. Journal of Physics: Conference Series, 2018, 1048: 012006 [3] General Administration of Qualify, Inspection and Quarantine of the People’s Republic of China. Specification for discard of the main parts of lifts GB/T 31821—2015 [S]. Beijing: Standards Press of China, 2015 (in Chinese)． [4] WU Z L, CHEN J X, LIN X M. Inspection method and research on the traction wheel groove wear of elevators [J]. China Plant Engineering, 2019, 35(9): 115-116 (in Chinese). [5] LI J B, LI W P. Development of a measuring device for the amount of rope groove wear on elevator traction wheels [J]. Hoisting and Conveying Machinery, 2017(1): 71-74 (in Chinese). [6] CHEN J X, WU Z L, LIN X M. Research on the noncontact detection method for the traction wheel groove of elevators [J]. Safety Technology of Special Equipment, 2019(5): 45-47 (in Chinese). [7] XIE X, YANG N, CHEN J, et al. Wear recognition method for traction wheel groove of elevator based on image processing [J]. China Safety Science Journal, 2019, 29(11): 122-128 (in Chinese). [8] DOGRU A, BOUARFA S, ARIZAR R, et al. Using convolutional neural networks to automate aircraft maintenance visual inspection [EB/OL]. (2020-11-20) [9] RAPINSKI J, SMIEJA M. ZigBee ranging using phase shift measurements [J]. Journal of Navigation, 2015, 68(4): 665-677. [10] YAN Y J, ASSAAD M, ZABALZA J, et al. Low cost structured-light based 3D surface reconstruction [J]. International Journal on Smart Sensing and Intelligent Systems, 2019, 12(1): 1-11. [11] YANG Y, TANG D, WANG D S, et al. Multi-camera visual SLAM for off-road navigation [J]. Robotics and Autonomous Systems, 2020, 128: 103505. [12] CHENG L, WU G P. Obstacles detection and depth estimation from monocular vision for inspection robot of high voltage transmission line [J]. Cluster Computing, 2019, 22(2): 2611-2627. [13] MAIRESSE J, MOYAL P. Editorial introduction to the special issue on stochastic matching models, matching queues and applications [J]. Queueing Systems, 2020, 96(3/4): 357-358. [14] WANG X Z, KEALY A, LI W C, et al. Toward autonomous UAV localization via aerial image registration [J]. Electronics, 2021, 10(4): 435. [15] CHI J N, ERAMIAN M. Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation [J]. Computer Vision and Image Understanding, 2017, 158: 49- 61. [16] NADEEM M, HUSSAIN A, MUNIR A, et al. Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter [J]. Signal Processing, 2020, 169: 107403. [17] JI X G, ZHANG X X, HU H T. Point cloud segmentation for complex microsurfaces based on feature line fitting [J]. Multimedia Tools and Applications, 2021, 80(3): 4553-4578. [18] WANG Y, HUANG S Y, DENG Y Q, et al. Model test on the effect of hillside on lightning shielding performance of ±1 100 kV transmission lines [J]. International Journal of Electrical Power & Energy Systems, 2021, 129: 106734. [19] WANG S H, ZHANG X, ZHANG G W, et al. Optimization of quantum-dot light source and detection of the simulants of chemical warfare agent [J]. Optical Materials, 2021, 114: 110935. [20] ZENG S T, CAO Y C, LIN Q, et al. Deep learning SPECT lung perfusion image classification method based on attention mechanism [J]. Journal of Physics: Conference Series, 2021, 1748(4): 042050.