西安交通大学机械工程学院导师教师师资介绍简介-赵明

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赵明的主页 - 赵明个人信息
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赵明，副教授，博士生导师
西安交通大学机械工程学院
装备智能诊断与控制研究所

荣誉与奖励
西安交通大学优秀博士论文奖
第四届上银优秀机械博士论文奖
陕西省振动工程学会青年科技奖
中电联电力科技创新一等奖
入选2020全球前2%科学家榜单

招生信息
每年招收硕士研究生3名，博士研究生1-2名，提供良好科研环境和优厚待遇；欢迎机械、计算机、信息学、力学、数学等相关专业同学报考。

联系方式
地址：西安市雁翔路99号交大科技园西5楼北B223
Email: zhaomingxjtu@mail.xjtu.edu.cn

站点计数器

个人简介
??????????????赵明，副教授，博士生导师，美国自然科学基金会IMS中心 Research Fellow。研究方向为机械装备智能感知与健康监测，提出的多种机械装备监测诊断技术已在风电、高铁、数控机床等领域获得实际应用。相关研究工作在IEEE Transactions、ISA Transactions、JSV、MSSP 等国际期刊发表SCI论文40余篇，其中5篇入选ESI高被引论文，1篇入选ESI热点论文。???????

研究领域
基于深度学习理论的复杂机电装备健康监测与智能感知；（面向航天、航空领域）
大数据环境下的瞬态信号建模、分析与自适应表达技术；（面向高铁、风电装备）
工业机器人多传感信息融合、深度发掘与预测性维护；??????? （面向集群级智能工厂）

教育经历

2010/09-2013/12，西安交通大学，机械制造及其自动化，博士
2006/09-2009/03，西安交通大学，机械制造及其自动化，硕士
2002/09-2006/07，西安交通大学，飞行器制造工程，学士

学术交流与任职
中国振动工程学会转子动力学分会理事
中国振动工程学会故障诊断专业委员会理事
IEEE国际电气和电子工程师协会会员
陕西省振动工程学会常务理事
美国科学基金会智能维护系统中心 Research Fellow
国家自然科学基金委通讯评议专家
华电电力科学研究院科技项目评审专家
The COMADEM 2017Conference 大数据与先进信号处理分会主席
2017全国轴承工程与技术学术会议分会主席，组委会成员

工作经历

2015/08-2016/08，美国自然科学基金会智能维护系统中心(NSF-IMSC)，访问****
2013/12-至今，西安交通大学，机械工程学院，讲师，副教授

科研项目
军委科技委创新特区项目，**，空间机械臂在轨健康监测与智能感知技术研究，2020/11-2021/11，主持
国家自然科学基金面上项目，**，基于内置编码器信息的关节减速器多源扭振行为分析与智能健康监测，2019/01-2022/12，主持
教育部重点实验室开放课题，2019KLMT02, 新能源汽车变速箱智能健康监测技术研究，2020/01-2021/12，主持
企业横向课题，基于声发射信号的风电机组主轴承健康监测数据分析，2021/05- 2021/07，主持
国家自然科学基金青年项目，**，变转速下机械动态信息的自适应提取与状态评估方法研究，2014/01-2017/12，主持
国家重点实验室青年基金项目，，基于自适应时频表达的变工况机械装备健康监测技术研究，2017/01-2017/12，主持
陕西省重点实验室青年学术骨干培植基金，，复杂服役条件下齿轮箱设备的瞬态工况辨识与早期故障信息提取研究，2015/01-2017/12，主持
国防基础科研计划，JCKY**C013，基于多源伺服信息的制造过程智能感知与诊断，2019/01-2020/12，项目骨干
高档数控机床与基础制造装备重大专项，2014ZX**，国产高档数控机床、系统及其技术在航空领域的综合应用验证及工艺研究，2014/01-2016/12，项目骨干
高档数控机床与基础制造装备重大专项，2009ZX04014-015，精密、重型机床可靠性设计与性能试验技术，2009/03-2011/12，项目骨干??????

论文与专利 - 赵明发表论文
2021
S. Ou, M. Zhao, T. Zhou, and D. Guo, "An encoder signal-based approach for low-speed planetary gearbox fault diagnosis," Measurement Science and Technology, vol. 32, no. 5, p. 054005, 2021.
Y. Miao, B. Zhang, M. Zhao, and J. Lin, "Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis," ISA transactions, 2021.
Z. Ma, M. Zhao, B. Li, and H. Fan, "A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox," Renewable Energy, vol. 170, pp. 141-162, 2021.
K. Liang, M. Zhao, J. Lin, J. Jiao, and C. Ding, "Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery," Mechanical Systems and Signal Processing, vol. 149, p. 107323, 2021.
J. Jiao, M. Zhao, J. Lin, K. Liang, and C. Ding, "A mixed adversarial adaptation network for intelligent fault diagnosis," Journal of Intelligent Manufacturing, pp. 1-16, 2021.
J. Jiao, M. Zhao, and J. Lin, "Multi-weight Domain Adversarial Network for Partial-set Transfer Diagnosis," IEEE Transactions on Industrial Electronics, 2021.
2020
M. Zhao and Z. Ma, "From Polynomial Fitting to Kernel Ridge Regression: A Generalized Difference Filter for Encoder Signal Analysis," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 9, pp. 6212-6220, 2020.
M. Zhao, Y. Li, S. Chen, and B. Li, "Missing value recovery for encoder signals using improved low-rank approximation," Mechanical Systems and Signal Processing, vol. 139, p. 106595, 2020.
C. Yan, M. Zhao, J. Lin, K. Liang, and Z. Zhang, "Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal," Journal of Sound and Vibration, vol. 485, p. 115529, 2020.
Y. Miao, M. Zhao, K. Liang, and J. Lin, "Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal," Renewable Energy, vol. 151, pp. 192-203, 2020.
Y. Miao, M. Zhao, and J. Hua, "Research on sparsity indexes for fault diagnosis of rotating machinery," Measurement, vol. 158, p. 107733, 2020.
Z. Ma, M. Zhao, S. Chen, and D. Guo, "Encoder-based weak fault detection for rotating machinery using improved Gaussian process regression," Structural Health Monitoring, p. **29755, 2020.
K. Liang, M. Zhao, J. Lin, and J. Jiao, "An information-based K-singular-value decomposition method for rolling element bearing diagnosis," ISA transactions, vol. 96, pp. 444-456, 2020.
J. Jiao, M. Zhao, J. Lin, and K. Liang, "Residual joint adaptation adversarial network for intelligent transfer fault diagnosis," Mechanical Systems and Signal Processing, vol. 145, p. 106962, 2020.
J. Jiao, M. Zhao, J. Lin, and K. Liang, "A comprehensive review on convolutional neural network in machine fault diagnosis," Neurocomputing, vol. 417, pp. 36-63, 2020.
J. Jiao, J. Lin, M. Zhao, and K. Liang, "Double-level adversarial domain adaptation network for intelligent fault diagnosis," Knowledge-Based Systems, vol. 205, p. 106236, 2020.
C. Ding, M. Zhao, J. Lin, B. Wang, and K. Liang, "Transient feature extraction of encoder signal for condition assessment of planetary gearboxes with variable rotational speed," Measurement, vol. 151, p. 107206, 2020.
C. Ding, M. Zhao, and J. Lin, "Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery," Measurement Science and Technology, vol. 32, no. 1, p. 015008, 2020.
???????2019
M. Zhao, J. Jiao, and J. Lin, "A data-driven monitoring scheme for rotating machinery via self-comparison approach," IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2435-2445, 2019.
L. Qu, J. Lin, Y. Liao, and M. Zhao, "Changes in rotor response characteristics based diagnostic method and its application to identification of misalignment," Measurement, vol. 138, pp. 91-105, 2019.
Y. Miao, M. Zhao, V. Makis, and J. Lin, "Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal," Mechanical Systems and Signal Processing, vol. 122, pp. 673-691, 2019.
Y. Miao, M. Zhao, and J. Lin, "Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition," ISA transactions, vol. 84, pp. 82-95, 2019.
J. Jiao, M. Zhao, J. Lin, and K. Liang, "Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings," Reliability Engineering & System Safety, vol. 184, pp. 41-54, 2019.
J. Jiao, M. Zhao, J. Lin, and C. Ding, "Deep coupled dense convolutional network with complementary data for intelligent fault diagnosis," IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9858-9867, 2019.
J. Jiao, M. Zhao, J. Lin, and C. Ding, "Classifier inconsistency-based domain adaptation network for partial transfer intelligent diagnosis," IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5965-5974, 2019.
J. Jiao, M. Zhao, and J. Lin, "Unsupervised adversarial adaptation network for intelligent fault diagnosis," IEEE Transactions on Industrial Electronics, vol. 67, no. 11, pp. 9904-9913, 2019.
C. Ding, M. Zhao, J. Lin, J. Jiao, and K. Liang, "Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data," IEEE Transactions on Industrial Electronics, vol. 67, no. 9, pp. 7982-7993, 2019.
C. Ding, M. Zhao, J. Lin, and J. Jiao, "Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings," ISA transactions, vol. 88, pp. 199-215, 2019.
??????2018
M. Zhao, X. Jia, J. Lin, Y. Lei, and J. Lee, "Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox," Mechanical Systems and Signal Processing, vol. 98, pp. 16-31, 2018.
L. Qu, Y. Liao, J. Lin, and M. Zhao, "Investigation on the subsynchronous pseudo-vibration of rotating machinery," Journal of Sound and Vibration, vol. 423, pp. 340-354, 2018.
Y. Miao, M. Zhao, and J. Lin, "Periodicity-impulsiveness spectrum based on singular value negentropy and its application for identification of optimal frequency band," IEEE Transactions on Industrial Electronics, vol. 66, no. 4, pp. 3127-3138, 2018.
J. Jiao, M. Zhao, J. Lin, and J. Zhao, "A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes," Knowledge-Based Systems, vol. 160, pp. 237-250, 2018.
X. Jia, M. Zhao, Y. Di, Q. Yang, and J. Lee, "Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy," IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5872-5881, 2018.
X. Jia, M. Zhao, Y. Di, P. Li, and J. Lee, "Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery," Mechanical Systems and Signal Processing, vol. 102, no. Supplement C, pp. 198-213, 2018.
X. Jia, M. Zhao, Y. Di, P. Li, and J. Lee, "Sparse filtering with the generalized lp / lq norm and its applications to the condition monitoring of rotating machinery," Mechanical Systems and Signal Processing, vol. 102, pp. 198-213, 2018.
??????2017
M. Zhao and J. Lin, "Health assessment of rotating machinery using a rotary encoder," IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2548-2556, 2017.
M. Zhao and X. Jia, "A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery," Mechanical Systems and Signal Processing, vol. 94, pp. 129-147, 2017.
X. Xu, M. Zhao, and J. Lin, "Detecting weak position fluctuations from encoder signal using singular spectrum analysis," ISA transactions, vol. 71, pp. 440-447, 2017.
Y. Miao, M. Zhao, J. Lin, and Y. Lei, "Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings," Mechanical Systems and Signal Processing, vol. 92, pp. 173-195, 2017.
Y. Miao, M. Zhao, and J. Lin, "Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification," Measurement Science and Technology, vol. 28, no. 12, p. 125001, 2017.
G. Lang, J. Lin, Y. Liao, and M. Zhao, "Impact of system anisotropy on vibration reduction of rotating machinery and its evaluation method," Mechanical Systems and Signal Processing, vol. 93, pp. 299-311, 2017.
L. Jing, M. Zhao, P. Li, and X. Xu, "A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox," Measurement, vol. 111, pp. 1-10, 2017.
L. Jing, T. Wang, M. Zhao, and P. Wang, "An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox," vol. 17, no. 2, p. 414, 2017.
X. Jia, M. Zhao, Y. Di, Q. Yang, and J. Lee, "Assessment of data suitability for machine prognosis using maximum mean discrepancy," IEEE transactions on industrial electronics, vol. 65, no. 7, pp. 5872-5881, 2017.
X. Jia, M. Zhao, Y. Di, C. Jin, and J. Lee, "Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement," Journal of Sound and Vibration, vol. 386, pp. 433-448, 2017.
X. Jia, M. Zhao, M. Buzza, Y. Di, and J. Lee, "A geometrical investigation on the generalized lp/lq norm for blind deconvolution," Signal Processing, vol. 134, pp. 63-69, 2017.
?????????????2016
M. Zhao, J. Lin, Y. Miao, and X. Xu, "Feature mining and health assessment for gearboxes using run-up/coast-down signals," Sensors, vol. 16, no. 11, p. 1837, 2016.
M. Zhao, J. Lin, Y. Miao, and X. Xu, "Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings," Measurement, vol. 91, pp. 421-439, 2016.
L. Zeng, M. Zhao, J. Lin, and W. Wu, "Waveform separation and image fusion for Lamb waves inspection resolution improvement," NDT & E International, vol. 79, pp. 17-29, 2016.
M. Yonghao, Z. Ming, L. Jing, and X. Xiaoqiang, "Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings," Measurement Science and Technology, vol. 27, no. 10, p. 105004, 2016.
X. Xu, M. Zhao, J. Lin, and Y. Lei, "Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis," Measurement, vol. 91, pp. 385-397, 2016.
???????2016以前
X. Xu, M. Zhao, J. Lin, and Y. Lei, "Periodicity-based kurtogram for random impulse resistance," Measurement Science and Technology, vol. 26, no. 8, p. 085011, 2015.
赵明, 林京, 廖与禾, 曹军义, "基于自适应短时Chirp-Fourier变换的瞬时转速估计及应用," 机械工程学报, no. 14, pp. 8-14, 2015.
林京, 赵明, "变转速下机械设备动态信号分析方法的回顾与展望," 中国科学. E技术科学, vol. 07期, pp. 669-686, 2015.
M. Zhao, L. Zeng, J. Lin, and W. Wu, "Mode identification and extraction of broadband ultrasonic guided waves," Measurement Science and Technology, vol. 25, no. 11, p. 115005, 2014.
M. Zhao, J. Lin, X. Xu, and X. Li, "Multi-fault detection of rolling element bearings under harsh working condition using IMF-based adaptive envelope order analysis," Sensors, vol. 14, no. 11, pp. 20320-20346, 2014.
M. Zhao, J. Lin, X. Xu, and Y. Lei, "Tacholess envelope order analysis and its application to fault detection of rolling element bearings with varying speeds," Sensors, vol. 13, no. 8, pp. 10856-10875, 2013.
M. Zhao, J. Lin, X. Wang, Y. Lei, and J. Cao, "A tacho-less order tracking technique for large speed variations," Mechanical Systems and Signal Processing, vol. 40, no. 1, pp. 76-90, 2013.
M. Zhao, J. Lin, Y. Lei, and X. Wang, "Flexible time domain averaging technique," Chinese Journal of Mechanical Engineering, vol. 26, no. 5, pp. 1022-1030, 2013.
J. Lin and M. Zhao, "Research progress and prospects on machinery monitoring under varying working condition," 中国工程科学（英文版）, vol. 11, no. 1, pp. 29-34, 2013.
赵明, 林京, 王琇峰等, "基于数字微分器的瞬时转速波动分析及在振动溯源中的应用," 机械工程学报, vol. 48, no. 22, pp. 1-6, 2012.??????????????????????????

工程应用 - 赵明合作企业
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