田丽丽,方宗德,赵 勇.铁路货车车轮踏面损伤检测中剥离与擦伤定位方法[J].铁道学报,2009,31(5):31-36.TIAN Li-li, FANG Zong-de, ZHAO Yong. Location methods of peeling and flat spots in detection of wheel tread damages of railway wagons[J]. Journal of the China Railway Society, 2009, 31(5): 31-36.(in Chinese)
[2]
BRIZUELA J, FRITSCH C, IBá?EZ A. Railway wheel-flat detection and measurement by ultrasound [J]. Transportation Research Part C: Emerging Technologies, 2011, 19(6): 975-984.
[3]
冯其波,赵 雁,崔建英.车轮踏面擦伤动态定量测量新方法[J].机械工程学报,2002,38(2):120-122.FENG Qi-bo, ZHAO Yan, CUI Jian-ying. New dynamic method to quantitatively measure wheel flats of trains [J]. Chinese Journal of Mechanical Engineering, 2002, 38(2): 120-122.
[4]
MILKOVIC’ D, SIMIC’ G, JAKOVLJEVIC’ ？. Wayside system for wheel-rail contact forces measurements[J]. Measurement, 2013, 46(9): 3308-3318.
[5]
FILOGRANO M L, GUILLéN P C, RODRíGUEZ-BARRIOS A, et al. Real-time monitoring of railway traffic using fiber bragg grating sensors[J]. IEEE Sensors Journal, 2012, 12(1): 85-92.
[6]
BELOTTI V, CRENNA F, MICHELINI R C, et al. Wheel-flat diagnostic tool via wavelet transform[J]. Mechanical Systems and Signal Processing, 2006, 20(8): 1953-1966.
[7]
葛林富,尹治本,朱怀芳.机车踏面擦伤计算机智能检测原理及实现[J].铁道学报,1993,15(2):35-39.GE Lin-fu, YIN Zhi-ben, ZHU Huai-fang. Micro-computer intelligence detection of locomotive wheel tread irregularities[J]. Journal of the China Railway Society, 1993, 15(2): 35-39.
[8]
GULLERS P, DREIK P, NIELSEN J C O, et al. Track condition analyser: identification of rail rolling surface defects, likely to generate fatigue damage in wheels, using instrumented wheelset measurements[J]. Journal of Rail and Rapid Transit, 2011, 225(1): 1-13.
[9]
MOLODOVA M, LI Z L, DOLLEVOET R. Axle box acceleration: measurement and simulation for detection of short track defects[J]. Wear, 2011, 271(1/2): 349-356.
[10]
DING Jian-ming, LIN Jian-hui, WANG Guang-ming, et al. Time-frequency analysis of wheel-rail shock in the presence of wheel flat[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1(6): 457-466.
[11]
TSAI H C, WANG C Y, HUANG N E, et al. Railway track inspection based on the vibration response to a scheduled train and the Hilbert-Huang transform[J]. Journal of Rail and Rapid Transit, 2014, DOI: 10.1177/0954409714527930.
[12]
胡爱军,唐贵基,安连锁.基于数学形态学的旋转机械振动信号降噪方法[J].机械工程学报,2006,42(4):127-130.HU Ai-jun, TANG Gui-ji, AN Lian-suo. De-noising technique for vibration signals of rotating machinery based on mathematical morphology filter[J]. Chinese Journal of Mechanical Engineering, 2006, 42(4): 127-130.(in Chinese)
[13]
SERRA J, VINCENT L. An overview of morphological filtering[J]. Circuits, Systems and Signal Processing, 1992, 11(1): 47-108.
[14]
章立军,徐金梧,阳建宏,等.自适应多尺度形态学分析及其在轴承故障诊断中的应用[J].北京科技大学学报,2008,30(4):441-445.ZHANG Li-jun, XU Jin-wu, YANG Jian-hong, et al. Adaptive multiscale morphology analysis and its application in fault diagnosis of bearings[J]. Journal of University of Science and Technology Beijing, 2008, 30(4): 441-445.
[15]
LI Bing, ZHANG Pei-lin, WANG Zheng-jun, et al. Gear fault detection using multi-scale morphological filters[J]. Measurement, 2011, 44(10): 2078-2089.
[16]
ZHANG Li-jun, XU Jin-wu, YANG Jian-hong, et al. Multiscale morphology analysis and its application to fault diagnosis[J]. Mechanical Systems and Signal Processing, 2008, 22(3): 597-610.
[17]
SAMANTA B, AL-BALUSHI K R, AL-ARAIMI S A. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection[J]. Engineering Applications of Artificial Intelligence, 2003, 16(7/8): 657-665.
[18]
李忠继,魏 来,戴焕云,等.基于Hilbert-Huang变换的车轮扁疤识别方法[J].交通运输工程学报,2012,12(4):33-41.LI Zhong-ji, WEI Lai, DAI Huan-yun, et al. Identification method of wheel flat based on Hilbert-Huang transform [J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 33-41.(in Chinese)
[19]
MAZILU T. A dynamic model for the impact between the wheel flat and rail[J]. UPB Scientific Bulletin Series D: Mechanical Engineering, 2007, 69(2): 45-58.
