Prof. Meng-Kun Liu, Ph.D.
Department of Mechanical Engineering
Education
- Ph. D., Texas A&M University, College Station, U. S. A.
- M.Sc., Mechanical Engineering, National Taiwan University, Taiwan
- B.S., Mechanical Engineering, National Chiao Tung University, Taiwan
Research Interests
- Signal analysis, machine learning, motor fault diagnosis
Publications
- Vo, T. T., Liu, M. K. and Tran, M. Q. (2024). Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals. Engineering Applications of Artificial Intelligence, 129, 107643. (IF:8.0, Q1)
- Kuo, C, Liu, J and Liu, M. K. (2024). Exploring Electrical Metrics for Tribology Measures in Oil Films: System Design, Analysis Principle and Physical Effects. Tribology International, 192, 109233. (IF: 6.2, Q1)
- Tran, M. Q., Liu, M. K., & Elsisi, M. (2023). Effective multi-sensor data fusion for chatter detection in milling process. ISA Transactions, 125, 514-527. (IF: 5.468, Q1)
- Tran, M. Q., Liu, M. K., Tran, Q. V., & Nguyen, T. K. (2022). Effective fault diagnosis based on wavelet and convolutional attention neural network for induction motors. IEEE Transactions on Instrumentation and Measurement, 71, 1-13. (IF: 4.016, Q1)