Publications:

 

2017年~ 至今

Zhifen Zhang, Wenjing Ren , Zhe Yang, Guangrui Wen*, Real-time seam defect identification for Al alloys in robotic arc welding using optical spectroscopy and integrating learning, Measurement, 2020(156) p. 107546

Zhifen Zhang, Guangrui Wen*, Shanben Chen, Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding, Journal of Manufacturing Processes, 2019(45), p208-p216

Zhifen Zhang, L. Zhang, and G. Wen, Study of inner porosity detection for Al-Mg alloy in arc welding through on-line optical spectroscopy: Correlation and feature reduction, Journal of Manufacturing Processes, 2019(39), pp. 79-92

Zhifen Zhang, Z. Yang, W. Ren, and G. Wen, Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum, Journal of Manufacturing Processes, 2019(42), pp. 51

Zhifen Zhang, Guangrui Wen, Shanben Chen, “Audible Sound-based Intelligent Evaluation of Weld Quality During Robotic Welding Process: mechanism, feature selection and defect detection”, IEEE Transactions on Industrial Informatics, 2018,14, (7), pp. 2973-2983

以通讯作者发表的SCI:

(1) Bin. Xu, Guangrui. Wen, Zhifen Zhang*, and Fen. Chen, Wear particle classification using genetic programming evolved features, Lubrication Science, 2018(30), pp. 229-246

(2) Y. Huang, S. Hou, S. Xu, S. Zhao, L. Yang, and Zhifen Zhang*, EMD- PNN based welding defects detection using laser-induced plasma electrical signals, Journal of Manufacturing Processes, vol. 45, pp. 642-651, 2019/09/01/ 2019.

(3) W. Ren, G. Wen, S. Liu, Z. Yang, B. Xu, and Zhifen Zhang*, A novel Convolutional Neural Network base on Time-frequency Spectrogram of Arc Sound and its Application on GTAW Penetration Classification, IEEE Transactions on Industrial Informatics, 2020. 2.24 DOI:10.1109/TII.2020.2978114

以第一作者发表的EI 及会议论文:

(1) 张志芬;任文静;杨哲;温广瑞,航空航天用铝合金机器人焊接内部气孔缺陷在线检测,航空制造技术,2019(23.24): 14-24,封面专稿

(2) 张志芬,杨哲,任文静,温广瑞.电弧光谱深度挖掘下的铝合金焊接过程状态检测.焊接学报,2019,40(1):19-25.

(3) Zhifen Zhang, G. Wen, S. Chen, On-line monitoring and defects detection ofrobotic arc welding: a review and future challenges,Transactions on Intelligent Welding Manufacturing,3(1), 2019 Feature article

专利

1)张志芬,任文静,栾日维,杨哲,温广瑞,一种铝合金熔焊过程状态检测方法及其装置, 2018.05,已受理

2)张志芬任文静,杨哲,温广瑞,一种交流钨极氩弧焊电弧声音信号特征快速提取方法, 发明专利,已授权, 2020.03.31 CN 109128446 B

3)张志芬任文静,杨哲,温广瑞,机器人电弧焊焊接过程控制及多传感信号同步采集系统及方法,已授权,2020.01.17  CN  108326393  B

软件著作权:

  张志芬温广瑞,杨哲任文静,机器人焊接质量监控的多信息采集及处理系统软件,2017.11,登记号:2018SR399532 

2016年以前:

(1)   Zhifen Zhang, Huabing Chen, Jiyong Zhong, Shanben Chen. “Multisensor-Based Real-time Quality Monitoring by means of Feature Extraction, Selection and Modeling for Al alloy in Arc Welding”, “Mechanical systems and signal processing.” 60 (2015): 151-165.

(3)    Zhifen Zhang, Shanben Chen. “Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals”, “Journal of Intelligent Manufacturing”, (2014):1-12.

(4)    Zhifen Zhang, E K Asibu Jr, SB Chen, “On-line Quality Monitoring for Al alloy pulsed GTAW based on Feature Extraction and Selection of Arc Spectroscopy Signal”, “International Journal of Advanced Manufacturing Technology” (2015): 1-11.

(5)    Zhifen Zhang, Huanwei Yu, Na Lv, and Shanben Chen. "Real-time defect detection in pulsed GTAW of Al alloys through on-line spectroscopy." Journal of Materials Processing Technology, 7 (2013): 1146-1156.

(6)    Zhifen Zhang, Xizhang Chen, Huabin Chen, Jiyong Zhong, and Shanben Chen. "Online welding quality monitoring based on feature extraction of arc voltage signal." The International Journal of Advanced Manufacturing Technology 70.9-12 (2014): 1661-1671.

(7)    Zhifen Zhang, Ji-yong Zhong, Yu-xi Chen, and Shan-ben Chen. "Feature extraction and modeling of welding quality monitoring in pulsed gas touch argon welding based on arc voltage signal." Journal of Shanghai Jiaotong University (Science) 19 (2014): 11-16.

(8)    张志芬,张鹏贤,陈剑虹,电阻点焊接头熔核面积的预测. 电焊机, 2010,(0 3):72-74

(Zhifen Zhang, Pengxian Zhang, Jianhong Chen. “Prediction of nugget area in RSW”, Electric Welding Machine, 40(2010):72-74.)