苗永浩

硕士生导师

主要任职:副教授

性别:男

毕业院校:西安交通大学

学位:博士

所在单位:可靠性与系统工程学院

Email:

曾获荣誉:

2019    优秀博士后

2017    博士生国家奖学金

   

个人简历

个人简历


苗永浩,副教授,研究生导师。18年博士毕业于西安交通大学机械工程专业,期间在加拿大多伦多大学联合培养1年。博士毕业后在北京航空航天大学任卓百博士后,并荣获2019年北京航空航天大学优秀博士后称号。20211月入职北航可靠性与系统工程学院,岗位为准聘副教授。


近五年,以第一和通讯作者身份在IEEE Transactions on Industrial ElectronicsMechanical Systems and Signal ProcessingRenewable Energy 等机械工程、测试、能源等领域的国际顶级期刊上发表SCI论文10余篇。研究成果累计引用300余次,包括2ESI高被引论文和1IOP高被引论文。


目前主持和参与国家自然科学基金、国家重点研发计划等多项国家级课题。担任IEEE Transactions on Industrial ElectronicsMechanical Systems and Signal ProcessingRenewable Energy10余种国内外权威期刊审稿人。

 

招生计划


每年计划招收2名硕士研究生。专业方向包括但不限于机械工程、工业工程、安全工程、计算机、大数据与人工智能等。

 

研究领域


机电装备状态监测与故障诊断


剩余寿命预测


大数据应用和智能运维

 

代表性论文

1.    Y. Miao, M. Zhao, J. Lin*, Y. Lei, Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings, Mechanical Systems and Signal Processing, 92 (2017) 173-195. (JCR Q1, 中科院Top期刊, IF=6.471, ESI高被引,入围MSSP期刊The most cited articles published since 2017目录)

2.    Y. Miao, M. Zhao, J. Lin*, Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition, ISA Transactions, 84 (2019) 82-95. (JCR Q1, 中科院Top期刊, IF=4.305, ESI高被引,入围ISA期刊The most cited articles published since 2018目录)

3.    Y. Miao, M. Zhao, J. Lin*, Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification, Measurement Science and Technology, 28 (2017) 125001. (JCR Q2, IF=1.857IOP Publishing引用Top1%)

4.    Y. Miao, M. Zhao, K. Liang, J. Lin*, Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal, Renewable Energy,151(2020)192-203. (JCR Q1, 中科院Top期刊, IF= 6.274)

5.    Y. Miao, M. Zhao, Y. Yi, J. Lin*, Application of sparsity-oriented VMD for gearbox fault diagnosis based on built-in encoder information, ISA Transactions, 99 (2020) 496-504. (JCR Q1, 中科院Top期刊, IF=4.305)

6.    Y. Miao, M. Zhao, J. Lin*, Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band, IEEE Transactions on Industrial Electronics, 66 (2019) 3127-3138. (JCR Q1, 中科院Top期刊, IF=7.515)

7.    Y. Miao, M. Zhao, V. Makis, et al, Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal, Mechanical Systems and Signal Processing,122 (2019) 673-691. (JCR Q1, 中科院Top期刊, IF=6.471)

8.    Y. Miao, B. Zhang, et al, Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis, ISA Transactions, 2021. (online) (JCR Q1, 中科院Top期刊, IF=4.305)

9.    Y. Miao, M. Zhao, et al, Research on sparsity indexes for fault diagnosis of rotating machinery, Measurement, 158 (2020) 107733. (JCR Q1, IF= 3.364)

10.  Y. Miao, B. Zhang, et al, Application of improved reweighted singular value decomposition for gearbox fault diagnosis based on built-in encoder information, Measurement, 168(2021) 108295. (JCR Q1, IF= 3.364)

11.  Y. Miao, M. Zhao, J. Lin*, et al, Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings, Measurement Science and Technology, 27 (2016) 105004. (JCR Q2, IF=1.857)

12.  M. Zhao, J. Lin*, Y. Miao, et al, Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings, Measurement, 91 (2016) 421-439. (JCR Q1, IF= 3.364)

13.  M. Zhao, J. Lin*, Y. Miao, et al, Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals, Sensors, 16 (2016) 1837. (JCR Q1, IF= 3.031)

14.  Y. Miao, M. Zhao, J. Lin*, et al, Harmonics-to-noise ratio guided deconvolution and its application for bearing fault detection, Prognostics and System Health Management Conference (PHM-Harbin), IEEE, 2017, pp. 1-8.


我的ResearchGate

https://www.researchgate.net/profile/Yonghao_Miao

我的谷歌学术:

https://scholar.google.com.hk/citations?user=gRZ_iZsAAAAJ&hl=zh-CN&oi=ao