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Meng-Kun Liu
Meng-Kun Liu
Department of Mechanical Engineering, National Taiwan University of Science and Technology
在 mail.ntust.edu.tw 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment
MQ Tran, M Elsisi, K Mahmoud, MK Liu, M Lehtonen, MMF Darwish
IEEE access 9, 115429-115441, 2021
1122021
Milling chatter detection using scalogram and deep convolutional neural network
MQ Tran, MK Liu, QV Tran
The International Journal of Advanced Manufacturing Technology 107 (3), 1505 …, 2020
932020
Effective fault diagnosis based on wavelet and convolutional attention neural network for induction motors
MQ Tran, MK Liu, QV Tran, TK Nguyen
IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2021
892021
Effective multi-sensor data fusion for chatter detection in milling process
MQ Tran, MK Liu, M Elsisi
ISA transactions 125, 514-527, 2022
882022
Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification
MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud, MMF Darwish, ...
IEEE Access 10, 23186-23197, 2022
802022
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis
MQ Tran, M Elsisi, MK Liu
Measurement 184, 109962, 2021
742021
Tool wear monitoring and prediction based on sound signal
MK Liu, YH Tseng, MQ Tran
The International Journal of Advanced Manufacturing Technology 103, 3361-3373, 2019
702019
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
MQ Tran, M Amer, AY Abdelaziz, HJ Dai, MK Liu, M Elsisi
Measurement 207, 112398, 2023
612023
Hand gesture recognition by a MMG-based wearable device
MK Liu, YT Lin, ZW Qiu, CK Kuo, CK Wu
IEEE Sensors Journal 20 (24), 14703-14712, 2020
332020
Data science for vibration heteroscedasticity and predictive maintenance of rotary bearings
CY Lee, TS Huang, MK Liu, CY Lan
Energies 12 (5), 801, 2019
332019
Fusion of vibration and current signatures for the fault diagnosis of induction machines
MK Liu, MQ Tran, PY Weng
Shock and Vibration 2019 (1), 7176482, 2019
312019
Simultaneous time–frequency control of bifurcation and chaos
MK Liu, CS Suh
Communications in Nonlinear Science and Numerical Simulation 17 (6), 2539-2550, 2012
302012
Control of cutting vibration and machining instability: a time-frequency approach for precision, micro and nano machining
CS Suh, MK Liu
John Wiley & Sons, 2013
262013
Hybrid model-and signal-based chatter detection in the milling process
MK Liu, MQ Tran, C Chung, YW Qui
Journal of Mechanical Science and Technology 34, 1-10, 2020
252020
Multi-dimensional time-frequency control of micro-milling instability
MK Liu, EB Halfmann, CS Suh
Journal of Vibration and Control 20 (5), 643-660, 2014
202014
On controlling milling instability and chatter at high speed
MK Liu, CS Suh
Journal of Applied Nonlinear Dynamics 1 (1), 59-72, 2012
202012
Induction motor faults diagnosis using support vector machine to the motor current signature
H Guo, MK Liu
2018 IEEE Industrial Cyber-Physical Systems (ICPS), 417-421, 2018
192018
Fault diagnosis of ball bearing elements: A generic procedure based on time-frequency analysis
MK Liu, PY Weng
Measurement Science Review 19 (4), 185-194, 2019
162019
Temporal and spectral responses of a softening Duffing oscillator undergoing route-to-chaos
MK Liu, CS Suh
Communications in Nonlinear Science and Numerical Simulation 17 (12), 5217-5228, 2012
142012
Estimation of process damping coefficient using dynamic cutting force model
C Chung, MQ Tran, MK Liu
International Journal of Precision Engineering and Manufacturing 21, 623-632, 2020
132020
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