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Ming Zhao 0006
Person information
- affiliation: Xi'an Jiaotong University, School of Mechanical Engineering, China
- affiliation (2015 - 2016): University of Cincinnati, NSF Center for Intelligent Maintenance Systems, OH, USA
Other persons with the same name
- Ming Zhao — disambiguation page
- Ming Zhao 0001 — Tsinghua University, National Laboratory for Information Science and Technology, Beijing, China
- Ming Zhao 0002 — Arizona State University, Tempe, AZ, USA (and 1 more)
- Ming Zhao 0003 — Google (and 1 more)
- Ming Zhao 0004 — Xi'an Jiatong University, China
- Ming Zhao 0005 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Ming Zhao 0007 — Central South University, School of Software, Changsha, China
- Ming Zhao 0008 — University of Science and Technology of China, School of Information Science and Technology, CAS Key Laboratory of Wireless-Optical Communications, Hefei, China
- Ming Zhao 0009 — Shanghai Maritime University, Department of Information Engineering / Department of Logistics Engineering, China (and 2 more)
- Ming Zhao 0010 — Ministry of Transport, China Waterborne Transport Research Institute, Beijing, China
- Ming Zhao 0011 — Yangtze University, School of Computer Science, Jingzhou, China
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2020 – today
- 2025
- [j27]Yanzhuo Lin, Yu Wang, Mingquan Zhang, Ming Zhao:
A robust source-free unsupervised domain adaptation method based on uncertainty measure and adaptive calibration for rotating machinery fault diagnosis. Reliab. Eng. Syst. Saf. 253: 110516 (2025) - 2024
- [j26]Zhipeng Ma, Ming Zhao, Shudong Ou, Biao Ma, Yue Zhang:
Physics-Inspired Sparse Voiceprint Sensing for Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 20(9): 11273-11284 (2024) - 2023
- [j25]Zhipeng Ma, Ming Zhao, Mourui Luo, Chao Gou, Guanji Xu:
An integrated monitoring scheme for wind turbine main bearing using acoustic emission. Signal Process. 205: 108867 (2023) - 2022
- [j24]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang, Chuancang Ding:
A mixed adversarial adaptation network for intelligent fault diagnosis. J. Intell. Manuf. 33(8): 2207-2222 (2022) - [j23]Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang, Chuancang Ding:
Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. Neural Networks 145: 331-341 (2022) - [j22]Jinyang Jiao, Ming Zhao, Jing Lin:
Multi-Weight Domain Adversarial Network for Partial-Set Transfer Diagnosis. IEEE Trans. Ind. Electron. 69(4): 4275-4284 (2022) - [j21]Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao, Chuancang Ding:
Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal. IEEE Trans. Ind. Electron. 69(6): 6267-6277 (2022) - [j20]Zhipeng Ma, Ming Zhao, Chao Gou:
Health Monitoring of Rotating Machinery Using Probabilistic Time Series Model. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - 2020
- [j19]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
A comprehensive review on convolutional neural network in machine fault diagnosis. Neurocomputing 417: 36-63 (2020) - [j18]Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang:
Double-level adversarial domain adaptation network for intelligent fault diagnosis. Knowl. Based Syst. 205: 106236 (2020) - [j17]Chuancang Ding, Ming Zhao, Jing Lin, Jinyang Jiao, Kaixuan Liang:
Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data. IEEE Trans. Ind. Electron. 67(9): 7982-7993 (2020) - [j16]Jinyang Jiao, Ming Zhao, Jing Lin:
Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis. IEEE Trans. Ind. Electron. 67(11): 9904-9913 (2020) - [j15]Jinyang Jiao, Ming Zhao, Jing Lin, Chuancang Ding:
Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis. IEEE Trans. Ind. Informatics 16(9): 5965-5974 (2020) - [j14]Ming Zhao, Zhipeng Ma:
From Polynomial Fitting to Kernel Ridge Regression: A Generalized Difference Filter for Encoder Signal Analysis. IEEE Trans. Instrum. Meas. 69(9): 6212-6220 (2020) - [i1]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
A comprehensive review on convolutional neural network in machine fault diagnosis. CoRR abs/2002.07605 (2020)
2010 – 2019
- 2019
- [j13]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings. Reliab. Eng. Syst. Saf. 184: 41-54 (2019) - [j12]Yonghao Miao, Ming Zhao, Jing Lin:
Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band. IEEE Trans. Ind. Electron. 66(4): 3127-3138 (2019) - [j11]Jinyang Jiao, Ming Zhao, Jing Lin, Chuancang Ding:
Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis. IEEE Trans. Ind. Electron. 66(12): 9858-9867 (2019) - [j10]Ming Zhao, Jinyang Jiao, Jing Lin:
A Data-Driven Monitoring Scheme for Rotating Machinery Via Self-Comparison Approach. IEEE Trans. Ind. Informatics 15(4): 2435-2445 (2019) - 2018
- [j9]Jinyang Jiao, Ming Zhao, Jing Lin, Jian Zhao:
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes. Knowl. Based Syst. 160: 237-250 (2018) - [j8]Ming Zhao, Jing Lin:
Health Assessment of Rotating Machinery Using a Rotary Encoder. IEEE Trans. Ind. Electron. 65(3): 2548-2556 (2018) - [j7]Xiaodong Jia, Ming Zhao, Yuan Di, Qibo Yang, Jay Lee:
Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy. IEEE Trans. Ind. Electron. 65(7): 5872-5881 (2018) - 2017
- [j6]Luyang Jing, Taiyong Wang, Ming Zhao, Peng Wang:
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox. Sensors 17(2): 414 (2017) - [j5]Xiaodong Jia, Ming Zhao, Matthew Buzza, Yuan Di, Jay Lee:
A geometrical investigation on the generalized lp/lq norm for blind deconvolution. Signal Process. 134: 63-69 (2017) - 2016
- [j4]Liang Zeng, Jing Lin, Liping Huang, Ming Zhao:
Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves. Sensors 16(10): 1623 (2016) - [j3]Ming Zhao, Jing Lin, Yonghao Miao, Xiaoqiang Xu:
Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals. Sensors 16(11): 1837 (2016) - 2014
- [j2]Ming Zhao, Jing Lin, Xiaoqiang Xu, Xuejun Li:
Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis. Sensors 14(11): 20320-20346 (2014) - 2013
- [j1]Ming Zhao, Jing Lin, Xiaoqiang Xu, Yaguo Lei:
Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds. Sensors 13(8): 10856-10875 (2013) - 2010
- [c1]Guangrui Wen, Xining Zhang, Ming Zhao:
Application of Partical Swarm Optimization Algorithm in Field Holo-Balancing. LSMS/ICSEE (1) 2010: 16-25
Coauthor Index
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