团队:
创新港高端装备研究院,航发所(陈雪峰),抗疲劳制造团队(周光辉)
方向:
1. 抗疲劳智能制造
2. 机器人焊接智能化
3. 多信息融合,深度学习理论及应用
2019/10~至今,西安交通大学,机械工程学院,副教授
2015/10~2019/10 , 西安交通大学,机械工程, 讲师,博士后 2018/01~2018/02, 澳大利亚卧龙岗大学,访问学者
2013/10-2014/11,美国密歇根大学安娜堡分校,机械工程,访问学者
2010/09-2015/10,上海交通大学,材料加工工程,博士,导师:陈善本
2007/09-2010/07,兰州理工大学,材料加工工程,硕士, 2003/09-2007/07,兰州理工大学,材料成型及控制工程,学士
1. 中国博士后科学基金特别资助,2018T111052,铝合金脉冲GTAW焊接气孔缺陷微观表征及在线检测,2019/01-2020/12,15万元,在研,主持
2. 国家自然科学基金面上项目,51775409,多源信息融合的风电机组(集群)状态异常检测及健康评估方法研究, 2018/01- 2021/12,60万元,在研,参与
3. 合作科研项目,J20180201,铝合金结构中裂纹扩展检测与定位,2017/11-2018/09,8万元,结题,主持
4. 国家重点研发项目,2017YFF0210504,大型转子系统服役状态在线检测监测关键技术研究,2017/07 -2020/06,80万元,在研,参与
5. 装备预研项目,6140004030116JW08001,多源信息驱动的装备全寿命损伤全特征提取与定量诊断,2017/01-2018/12,50万元,在研,参与
6. 合作科研项目,J20170303,裂纹扩展检测试验与分析,2017/01-2017/04,4.5万元,结题,主持
7. 陕西省博士后科研项目资助,基于多信息融合的铝合金脉冲GTAW焊接缺陷在线预测及定量评估,2017/01-2018/12,2万元,在研,主持
8. 中国博士后科学基金面上资助,2016M602805,基于电弧光谱深度学习的机器人焊接过程缺陷表征及识别, 2017/01-2018/12,5万元,在研,主持
9. 国家自然科学青年基金,51605372,基于多态数据驱动的铝合金脉冲GTAW焊接缺陷在线预测及定量评估, 2017/01-2019/12,20万元,在研,主持
1. Zhifen Zhang, Guangrui Wen*, Shanben Chen, “Audible Sound-based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: mechanism, feature selection and defect detection”, IEEE Transactions on Industrial Informatics, 2018, 14, (7), pp. 2973-2983
2. 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, Vol45, 2019, p208-p216
3. 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, vol. 39, pp. 79-92, 2019/03/01/ 2019.
4. 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, vol. 42, pp. 51-59, 2019/06/01/ 2019.
5. 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, 2017, 28, pp. 207-218.
6. Zhifen Zhang#, Huabin Chen, Yanling Xu*, Jiyong Zhong, Na Lv, 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, 2015, 60-61: 151-165
7. Zhifen Zhang#, Elijah Kannatey-AsibuJr, Shanben Chen*, Yiming Huang, Yanling Xu, Online defect detection of Al alloy in arc welding based on feature extraction of arc spectroscopy signal, International Journal of Advanced Manufacturing Technology, 2015, 79(9): 2067-2077
8. 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, 2014, 70(9):1661-1671
9. Zhifen Zhang#, Jiyong Zhong, Yuxi Chen, and Shanben 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) 2014, 19(1):11-16
10. Zhifen Zhang#, Huanwei Yu, Na Lv, Shanben Chen*, Real-time defect detection in pulsed GTAW of Al alloys through on-line spectroscopy, Journal of Materials Processing Technology, 2013, 213(7):1146-1156