Ming Zhao
TitleCited byYear
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
L Jing, M Zhao, P Li, X Xu
Measurement 111, 1-10, 2017
An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox
L Jing, T Wang, M Zhao, P Wang
Sensors 17 (2), 414, 2017
Tacholess envelope order analysis and its application to fault detection of rolling element bearings with varying speeds
M Zhao, J Lin, X Xu, Y Lei
Sensors 13 (8), 10856-10875, 2013
A tacho-less order tracking technique for large speed variations
M Zhao, J Lin, X Wang, Y Lei, J Cao
Mechanical Systems and Signal Processing 40 (1), 76-90, 2013
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
Y Miao, M Zhao, J Lin, Y Lei
Mechanical Systems and Signal Processing 92, 173-195, 2017
A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
M Zhao, X Jia
Mechanical Systems and Signal Processing 94, 129-147, 2017
Identification of multiple faults in rotating machinery based on minimum entropy deconvolution combined with spectral kurtosis
D He, X Wang, S Li, J Lin, M Zhao
Mechanical Systems and Signal Processing 81, 235-249, 2016
Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox
M Zhao, X Jia, J Lin, Y Lei, J Lee
Mechanical Systems and Signal Processing 98, 16-31, 2018
Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings
M Zhao, J Lin, Y Miao, X Xu
Measurement 91, 421-439, 2016
Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis
X Xu, M Zhao, J Lin, Y Lei
Measurement 91, 385-397, 2016
Multi-fault detection of rolling element bearings under harsh working condition using IMF-based adaptive envelope order analysis
M Zhao, J Lin, X Xu, X Li
Sensors 14 (11), 20320-20346, 2014
Mode identification and extraction of broadband ultrasonic guided waves
M Zhao, L Zeng, J Lin, W Wu
Measurement Science and Technology 25 (11), 115005, 2014
Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification
Y Miao, M Zhao, J Lin
Measurement Science and Technology 28 (12), 125001, 2017
Health assessment of rotating machinery using a rotary encoder
M Zhao, J Lin
IEEE Transactions on Industrial Electronics 65 (3), 2548-2556, 2017
Periodicity-based kurtogram for random impulse resistance
X Xu, M Zhao, J Lin, Y Lei
Measurement Science and Technology 26 (8), 085011, 2015
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes
J Jiao, M Zhao, J Lin, J Zhao
Knowledge-Based Systems 160, 237-250, 2018
Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement
X Jia, M Zhao, Y Di, C Jin, J Lee
Journal of Sound and Vibration 386, 433-448, 2017
A hybrid three-probe method for measuring the roundness error and the spindle error
S Shi, J Lin, X Wang, M Zhao
Precision Engineering 45, 403-413, 2016
Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition
Y Miao, M Zhao, J Lin
ISA transactions 84, 82-95, 2019
Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery
X Jia, M Zhao, Y Di, P Li, J Lee
Mechanical Systems and Signal Processing 102, 198-213, 2018
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Articles 1–20