A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
2014 · Manufacturing Letters · 4,649 citations
https://doi.org/10.1016/j.mfglet.2014.12.001
J
Jay Lee
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
563
Papers
30.2K
Citations
72
h-index
243
i10-index
Jay Lee is an academic researcher from University of Southern California. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Fault Detection and Control Systems & Industrial Vision Systems and Defect Detection. The author has an h-index of 72, co-authored 479 publications.
ORCID: 0000-0002-4022-4274Papers by this author
worksPrognostics and health management design for rotary machinery systems—Reviews, methodology and applications
2013 · Mechanical Systems and Signal Processing · 1,469 citations
https://doi.org/10.1016/j.ymssp.2013.06.004
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
2005 · Journal of Sound and Vibration · 1,404 citations
https://doi.org/10.1016/j.jsv.2005.03.007
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
2020 · IEEE Access · 611 citations
https://doi.org/10.1109/access.2020.3042874
Intelligent Maintenance Systems and Predictive Manufacturing
2020 · Journal of Manufacturing Science and Engineering · 202 citations
https://doi.org/10.1115/1.4047856
Field-synchronized Digital Twin framework for production scheduling with uncertainty
2020 · Journal of Intelligent Manufacturing · 150 citations
https://doi.org/10.1007/s10845-020-01685-9
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat