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。2021年1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 Electronics，Mechanical Systems and Signal Processing，Renewable 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2篇ESI高被引论文和1篇IOP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 Electronics，Mechanical Systems and Signal Processing，Renewable Energy等10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=1.857，IOP 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