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Ming Hong
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年份
Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features
Z Su, C Zhou, M Hong, L Cheng, Q Wang, X Qing
Mechanical Systems and Signal Processing 45 (1), 225-239, 2014
2012014
Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: Theory, simulation, and experimental validation
M Hong, Z Su, Q Wang, L Cheng, X Qing
Ultrasonics 54 (3), 770-778, 2014
1902014
Evaluation of fatigue cracks using nonlinearities of acousto-ultrasonic waves acquired by an active sensor network
C Zhou, M Hong, Z Su, Q Wang, L Cheng
Smart Materials and Structures 22 (1), 015018, 2012
1492012
Locating fatigue damage using temporal signal features of nonlinear Lamb waves
M Hong, Z Su, Y Lu, H Sohn, X Qing
Mechanical Systems and Signal Processing 60, 182-197, 2015
1262015
In situ health monitoring for bogie systems of CRH380 train on Beijing–Shanghai high-speed railway
M Hong, Q Wang, Z Su, L Cheng
Mechanical Systems and Signal Processing 45 (2), 378-395, 2014
882014
Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites
M Hong, Z Mao, MD Todd, Z Su
Mechanical Systems and Signal Processing 82, 448-460, 2017
622017
An In-Situ Structural Health Diagnosis Technique and Its Realization via a Modularized System
Q Wang, M Hong, Z Su
IEEE Transactions on Instrumentation and Measurement 64 (4), 873-887, 2014
322014
A sparse sensor network topologized for cylindrical wave-based identification of damage in pipeline structures
Q Wang, M Hong, Z Su
Smart Materials and Structures 25 (7), 075015, 2016
252016
Nonlinear ultrasonics for health monitoring of aerospace structures using active sparse sensor networks
Z Su, M Hong
Structural health monitoring (SHM) in aerospace structures, 353-392, 2016
152016
On time reversal-based signal enhancement for active lamb wave-based damage identification
Q Wang, S Yuan, M Hong, Z Su
Smart structures and systems 15 (6), 1463-1479, 2015
92015
Nonlinear Properties of Lamb Waves under Modulation of Fatigue Damage: Finite Element Simulation with Experimental Validation
M Hong, C Zhou, ZQ Su, L Cheng, XL Qing
Key Engineering Materials 558, 195-204, 2013
72013
A guided wave approach for real-time health monitoring of high-speed train bogie frames
M Hong, Q Wang, Z Su
2014 IEEE Far East Forum on Nondestructive Evaluation/Testing, 39-43, 2014
62014
Online damage monitoring for high-speed train bogie using guided waves: Development and validation
Q Wang, Z Su, M Hong
EWSHM-7th European Workshop on Structural Health Monitoring, 2014
52014
Real-time signal processing of guided waves acquired on high-speed trains for health monitoring of bogie systems
M Hong, Q Wang, Z Su, L Zhou
Recent Advances in Structural Integrity Analysis—Proceedings of the …, 2015
42015
Fatigue damage localization using time-domain features extracted from nonlinear Lamb waves
M Hong, Z Su, Y Lu, L Cheng
Health Monitoring of Structural and Biological Systems 2014 9064, 24-36, 2014
42014
On quantitative evaluation of fatigue cracks: an active way using nonlinear acousto-ultrasonic waves
C Zhou, M Hong, Z Su, Q Wang, L Cheng
Proceedings of the 6th European Workshop on Structural Health Monitoring, 2012
42012
Temporal information of linear and nonlinear Lamb waves for fatigue damage localization: analysis and synthesis
M Hong, Z Su, Y Lu, L Cheng
EWSHM-7th European Workshop on Structural Health Monitoring, 2014
32014
The application of guided waves for debonding identification in FRP-reinforced civil structures
Y Lu, J Li, H Lyu, M Hong, Z Su
Asia-Pacific Workshop on Structural Health Monitoring 2014, 2014
32014
Imaging-based quantitative characterization of fatigue crack for structural integrity monitoring using nonlinear acousto-ultrasonics and active sensor networks
Z Su, C Zhou, L Cheng, M Hong
The Journal of the Acoustical Society of America 132 (3_Supplement), 1933-1933, 2012
32012
Characterizing fatigue cracks using active sensor networks
M Hong, Z Su
Nonlinear Ultrasonic and Vibro-Acoustical Techniques for Nondestructive …, 2019
22019
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