Page 94 - 摩擦学学报2025年第8期

1192 摩擦学学报（中英文） 第 45 卷

[15] Wang Hongan, Chen Guoming. Defect size estimation method for 40(2): 39–41]. doi: 10.13436/j.mkjx.201902015.
magnetic flux leakage signals using convolutional neural [21] Fan Yong, Pei Yong, Yang Guangdong, et al. Prediction of blasting
networks[J]. Insight - Non-Destructive Testing and Condition vibration velocity peak based on an improved PSO-BP neural
Monitoring, 2020, 62(2): 86–91. doi: 10.1784/insi.2020.62.2.86. network[J]. Journal of Vibration and Shock, 2022, 41(16):
[16] Cruzado A, Hartelt M, Wäsche R, et al. Fretting wear of thin steel 194–203,302 (in Chinese) [范勇, 裴勇, 杨广栋, 等. 基于改进PSO-
wires. part 2: influence of crossing angle[J]. Wear, 2011, 273(1):
BP神经网络的爆破振动速度峰值预测[J]. 振动与冲击, 2022,
60–69. doi: 10.1016/j.wear.2011.04.012.
41(16): 194–203,302]. doi: 10.13465/j.cnki.jvs.2022.16.025.
[17] Zhang Dekun, Geng Hao, Zhang Zefeng, et al. Investigation on the
[22] Wen Hao, Liu Zhaoyu, Chen Lin. Research on rope damage of
fretting fatigue behaviors of steel wires under different strain
ropeway based on BP neural network[J]. Hoisting and Conveying
ratios[J]. Wear, 2013, 303(1-2): 334–342. doi: 10.1016/j.wear.2013.
Machinery, 2023(7): 34–38 (in Chinese) [温浩, 刘兆羽, 陈琳. 基于
03.020.
BP神经网络的索道钢丝绳损伤研究[J]. 起重运输机械, 2023(7):
[18] Liu Yuanyuan. Analysis and research of damage signal of wire rope
34–38]. doi: 10.3969/j.issn.1001-0785.2023.07.011.
based on Non-destructive testing technology[D]. Jinan: Shandong
[23] Dong Yanqi. Research on farmland production potential evaluation
University, 2021 (in Chinese) [刘媛媛. 基于无损检测技术的钢丝
method based on PSO-BP neural network[D]. Beijing: Beijing
绳损伤信号的分析研究[D]. 济南: 山东大学, 2021].
Forestry University, 2022 (in Chinese) [董彦琪. 基于PSO-BP神经
[19] Han Mengfang. Fault recognition research of mine hoister wire
网络的农田生产潜力评价方法研究[D]. 北京: 北京林业大学,
ropes based on wavelet transform[D]. Xuzhou: China University of
Mining and Technology, 2016 (in Chinese) [韩梦方. 基于小波变换 2022].
[24] Zhang Yiqing, Tan Jiwen, Meng Qingwen, et al. A quantitative
的矿井提升机钢丝绳故障识别研究[D]. 徐州: 中国矿业大学,
2016]. testing method for broken wires in steel wire ropes based on transfer
[20] Zhu Liang, Tan Jiwen, Zhang Yiqing. Study on extracting method of learning[J]. Journal of Vibration and Shock, 2022, 41(12): 261–266
damage signal characteristic of wire rope broken wire[J]. Coal Mine (in Chinese) [张义清, 谭继文, 孟庆文, 等. 基于迁移学习的钢丝绳
Machinery, 2019, 40(2): 39–41 (in Chinese) [朱良, 谭继文, 张义清. 断丝定量检测方法[J]. 振动与冲击, 2022, 41(12): 261–266]. doi:
钢丝绳断丝损伤信号特征量提取方法研究[J]. 煤矿机械, 2019, 10.13465/j.cnki.jvs.2022.12.032.