吉林大学学报(工学版) ›› 2002, Vol. ›› Issue (2): 83-86.

Previous Articles     Next Articles

New Method to Evaluate Injury Degree of Pressure Container Active Fault

LI Jia-lin1, NIU Shu1, MA Yu-kuan 2   

  1. 1. Dept of Biomedical Engineering, Beijing Military Medical College, Beijing 100071, China;
    2. College of Communication Engineering, Jilin University, Changchun 130025, China
  • Received:2001-07-03

Abstract: In respect of defect of current evaluation method of injury degree of pressure container active fault,a comprehensive evaluation method of injury degree based on acoustic emission source using artificial neural network was proposed.Result of application of this method to evaluation of injury degree of pressure container active fault is in good agreement with that of local nondestructive recheck.

Key words: acoustic emission source, injury degree evaluation, neural network, pressure container, nondestructive check

CLC Number: 

  • TG115.28
[1] 袁振明,马羽宽.声发射技术及应用[M].北京:机械工业出版社,1985.
[2] 胡守仁.神经网络应用技术[M].长沙:国防科技大学,1992.
[1] XI Li-he,ZHANG Xin,SUN Chuan-yang,WANG Ze-xing,JIANG Tao. Adaptive energy management strategy for extended range electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1636-1644.
[2] JIANG Tao,LIN Xue-dong,LI De-gang,YANG Miao,TANG Xue-lin. Effect of control parameters on heat release rate with ANN method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1747-1754.
[3] XU Yan,SUN Mei-shuang. Enhancing underwater image based on convolutional neural networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1895-1903.
[4] LI Xiong-fei, FENG Ting-ting, LUO Shi, ZHANG Xiao-li. Automatic music composition algorithm based on recurrent neural network [J]. 吉林大学学报(工学版), 2018, 48(3): 866-873.
[5] DI Xiao-qiang, WANG Ying-zheng, LI Jin-qing, CONG Li-gang, QI Hui. Video encryption method based on hyperchaos of quantum cellular neural networks [J]. 吉林大学学报(工学版), 2018, 48(3): 919-928.
[6] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[7] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[8] XIE Zhi-jiang, WU Xiao-yong, FAN Nai-ji, GUO Zong-huan, YUAN Yue-jun, WANG Kang. Kinematics analysis of a precision assembly platform of SG-III [J]. 吉林大学学报(工学版), 2017, 47(5): 1504-1511.
[9] MA Miao, LI Yi-bin. Multi-level image sequences and convolutional neural networks based human action recognition method [J]. 吉林大学学报(工学版), 2017, 47(4): 1244-1252.
[10] WANG De-jun, LYU Zhi-chao, WANG Qi-ming, ZHANG Xian-da, WANG Zi-jian. Engine misfire fault diagnosis based on cylinder pressure identification [J]. 吉林大学学报(工学版), 2017, 47(3): 917-923.
[11] HUANG Xuan, GUO Li-hong, LI Jiang, YU Yang. Target threat assessment based on BP neural network optimized by modified particle swarm optimization [J]. 吉林大学学报(工学版), 2017, 47(3): 996-1002.
[12] LI Lin-hui, LUN Zhi-mei, LIAN Jing, YUAN Lu-shan, ZHOU Ya-fu, MA Xiao-yi. Convolution neural network-based vehicle detection method [J]. 吉林大学学报(工学版), 2017, 47(2): 384-391.
[13] WANG Qing-nian, DUAN Ben-ming, WANG Peng-yu, GONG Yin-sheng, ZHU Qing-lin. Optimization of powertrain transmission parameters of plug-in hybrid electric vehicle [J]. 吉林大学学报(工学版), 2017, 47(1): 1-7.
[14] GUO Ying-shi, FU Rui, ZHAO Kai, MA Yong, YUAN Wei. Evaluation and test of real-time identification models of driver's lane change intention [J]. 吉林大学学报(工学版), 2016, 46(6): 1836-1844.
[15] SUN Da-xu, LAN Feng-chong, HE Xing-fu, CHEN Ji-qing. Self-adaptive composite ABS of dual-motor four-wheel drive electric vehicle [J]. 吉林大学学报(工学版), 2016, 46(5): 1405-1413.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!