Infrared nondestructive testing of cavity defects and PNN recognition and quantitative evaluation

Zhou Jianmin; Fu Zhengqing; Li Peng; Yang Jun

[1] Lv Xinmin, Luo Zhiyong. The real-time detection of the moving steel strip surface hole with plane array charge coupled devices[J]. Opto-Electronic Engineering, 1997, 24(1): 42-45. (in Chinese)

[2] Yang Shuishan, He Yonghui, Zhao Wansheng. Strip steel surface defect recognition based on Boosting optimized decision tree[J]. Infrared and Laser Engineering, 2010, 39(5): 954-958. (in Chinese)

[3] Liu Yongchang, Wu Peng, Zhang Li. Intelligent IR imaging homing guidance technique toward new century[J]. Infrared Technique, 2002, 24(2)：1-5. (in Chinese)

[4] Feng Lichun, Tao Ning, Xu Chuan. Lock in thermography and its application in nondestructive evaluation[J]. Infrared and Laser Engineering, 2011, 40(6): 1121-1123. (in Chinese)

[5] Bulanon D M, Burks T F, Alchanatis V． Image fusion of visible and thermal images for fruit detection[J]． Bio Systems Engineering, 2009, 103(1): 12-22．

[6] Lee J J, Kim D, Chang S K．An improved application technique of the adaptive probabilistic neural network for predicting concrete strength[J]． Computational Materials Science, 2009, 44(3): 988-998．

[7] Li Junmei, Hu Yihua, Tao Xiaohong. Recogllition method based on principal component anaIysis and back- propagation neural network[J]. Infrared and Laser Engineering, 2006, 34(6): 719-723. (in Chinese)

[8] Lee J J, Lee J W, Yi J H, et al．Neural networks-based damage detection for bridges considering errors in baseline finite element models[J]． Journal of Sound and Vibration,2005, 280(3): 555-578.