专 业：机械设计及理论
导 师：张俊 教授
邮 箱: xlwang_fd@126.com
实验室：机械学院北楼309
教育及工作背景：
2021年9月至今 福州大学 机械设计及理论 攻读博士学位
2018年9月至2021年6月 安徽工业大学 机械工程 工学硕士学位
2014年9月至2018年6月 齐鲁理工学院 机械设计制造及其自动化 工学学士学位
研究方向：
1.设备状态监测与故障诊断
2.齿轮动力学
参与科研项目：
无
发表论文：
1. 王兴龙,郑近德,潘海洋等.基于MED与自相关谱峭度图的滚动轴承故障诊断方法[J].振动与冲击,2020,39(18):118-124+131.
2. 郑近德,王兴龙,潘海洋等.基于自适应自相关谱峭度图的滚动轴承故障诊断方法[J].中国机械工程,2021,32(07):778-785+792.
3. Xinglong Wang, Jinde Zheng, Haiyang Pan, et.al. Maximum envelope-based Autogram and symplectic geometry mode decomposition based gear fault diagnosis method. Measurement, 2021,174:108575.
4. Jinde Zheng, Xinglong Wang, Haiyang Pan, et al. The traverse symplectic correlation-gram (TSCgram): a new and effective method of optimal demodulation band selection for rolling bearing. IEEE Transactions on Instrumentation and Measurement, 2021, 70:1-15.
5. Xinglong Wang, Jinde Zheng, Jun Zhang. Median line-gram and its application in the fault diagnosis of rolling bearing. Measurement Science and Technology, 2022, 33(6): 065011.
6. Xinglong Wang, Jinde Zheng, Qing Ni, et al. Traversal index enhanced-gram (TIEgram): A novel optimal demodulation frequency band selection method for rolling bearing fault diagnosis under non-stationary operating conditions. Mechanical Systems and Signal Processing, 2022, 172(6):109017.
7. Xinglong Wang, Jinde Zheng, Jun Zhang. A novel optimal demodulation frequency band extraction method of fault bearing based on power spectrum screening combination-gram, Mechanical Systems and Signal Processing, 2022, 174(15):109104.
8. Xinglong Wang, Jiancong Shi, Jun Zhang. A power information guided-variational mode decomposition (PIVMD) and its application to fault diagnosis of rolling bearing, Digital signal processing, 132: 103814.
9. Jiancong Shi, Xinglong Wang, Siliang Lu, et al. An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3519014.
10. Jiancong Shi, Baoming Xu, Xinglong Wang, Jun Zhang. A local spectrum enhancement‐based method and its application in incipient fault diagnosis of rotating machinery, International Journal of Mechanical System Dynamics, 2023, 3(2): 162-172.
授权专利：
1.基于多尺度分散熵偏均值与非线性模式分解的变工况轴承故障诊断方法, 发明专利, 专利号：ZL201911346676.5.
荣誉与奖励：
2022年 安徽省优秀硕士学位论文
2021年 安徽省挑战杯二等奖