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第 38 卷 第 1 期 郑善朴等: 多层结构中脱粘缺陷的超声检测方法 141
[4] 唐盛明, 齐子诚, 刘子瑜, 等. 电子束焊缝超声波 C 扫描与工 classification[J]. Yellow River, 2015, 37(1): 111–114, 118.
业 CT 检测方法测试结果比较 [J]. 无损检测, 2014, 36(10): [10] 韦鹏宇, 潘福成, 李帅. 改进人工蜂群优化 BP 神经网络的分
49–52. 类研究 [J]. 计算机工程与应用, 2018, 54(10): 158–163.
Tang Shengming, Qi Zicheng, Liu Ziyu, et al. Comparison Wei Pengyu, Pan Fucheng, Li Shuai. Study on classifica-
of test method between ultrasonic C-scan and industrial tion of improved artificial bee colony algorithm to opti-
CT in electron beam welding testing[J]. Nondestructive mization of BP neural network[J]. Computer Engineering
Testing, 2014, 36(10): 49–52. & Applications, 2018, 54(10): 158–163.
[5] 李建文, 王增勇, 汤光平. 金属壳体粘接结构件的超声检测 [J]. [11] Raju P, Rao B P, Rao V M. Gray wolf optimization-based
无损检测, 2010, 32(4): 283–285. artificial neural network for classification of kidney im-
Li Jianwen, Wang Zengyong, Tang Guangping. The ultra- ages[J]. Journal of Circuits Systems & Computers, 2018,
sonic testing of the metal shell bonds[J]. Nondestructive 27(14): 1850231.
Testing, 2010, 32(4): 283–285. [12] 艾春安, 曾一平, 李剑, 等. 基于功率谱形心 SWF 的 SRM
[6] 艾春安, 蔡堃, 吴安法. 声 -超声技术在固体火箭发动机无损 复合材料壳体脱粘缺陷识别方法 [J]. 固体火箭技术, 2012,
检测中的应用 [C]//中国宇航学会固体火箭推进 24 届年会, 35(6): 833–837.
2007. Ai Chun’an, Zeng Yiping, Li Jian, et al. Debonding de-
[7] 贾卫东, 周建, 刘亚冰, 等. 长期贮存固体火箭发动机界面脱 fect identification method of SRM composite shell based
粘安全性研究 [J]. 战术导弹技术, 2013(5): 101–106. on the power spectral centroid of SWF[J]. Journal of Solid
Jia Weidong, Zhou Jian, Liu Yabing, et al. Research on Rocket Technology, 2012, 35(6): 833–837.
the safety of long term storage solid rocket motor with [13] 戴永. 基于激光超声检测金属材料表面缺陷的数值模拟 [D].
debonded layer[J]. Tactical Missile Technology, 2013(5): 镇江: 江苏大学, 2011.
101–106. [14] 王嵘冰, 徐红艳, 李波, 等. BP 神经网络隐含层节点数确定方
[8] 詹映, 罗华平, 彭云发, 等. BP 人工神经网络南疆红枣颜色分 法研究 [J]. 计算机技术与发展, 2018, 28(4): 31–35.
级方法的研究 [J]. 食品工业, 2015, 36(1): 165–167. Wang Rongbing, Xu Hongyan, Li Bo, et al. Research
Zhan Ying, Lou Huaping, Peng Yunfa, et al. Research on method of determining hidden layer nodes in BP neu-
of the BP artificial neural network in southern jujube ral network[J]. Computer Technology and Development,
color classification method[J]. Food Industry, 2015, 36(1): 2018, 28(4): 31–35.
165–167. [15] 许鑫. 复合材料脱粘的红外无损检测及数值模拟 [J]. 检测技
[9] 郭少文, 赵其华, 张群, 等. BP 人工神经网络在岩体质量分级 术, 2014(3): 54–58.
中的应用 [J]. 人民黄河, 2015, 37(1): 111–114, 118. Xu Xin. Infrared nondestructive testing of composites
Guo Shaowen, Zhao Qihua, Zhang Qun, et al. Applica- debonding defects and numerical simulation[J]. Aerospace
tion of BP artificial neural network in rock mass quality Manufacturing Technology, 2014(3): 54–58.