Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 · Mechanical Systems and Signal Processing · 2,298 citations
https://doi.org/10.1016/j.ymssp.2017.11.016
J
Jing Lin
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.
374
Papers
25.9K
Citations
70
h-index
232
i10-index
Jing Lin is an academic researcher from Xiamen University. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Ultrasonics and Acoustic Wave Propagation & Gear and Bearing Dynamics Analysis. The author has an h-index of 70, co-authored 318 publications.
ORCID: 0000-0002-7670-1482Papers by this author
worksA review on empirical mode decomposition in fault diagnosis of rotating machinery
2012 · Mechanical Systems and Signal Processing · 1,763 citations
https://doi.org/10.1016/j.ymssp.2012.09.015
Broadband tristable energy harvester: Modeling and experiment verification
2014 · Applied Energy · 601 citations
https://doi.org/10.1016/j.apenergy.2014.07.077
Structure health monitoring of composites joint reinforced by Acoustic Emission based Smart Composite Fasteners
2022 · Composites Communications · 25 citations
https://doi.org/10.1016/j.coco.2022.101213
Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal
2019 · Chinese Journal of Mechanical Engineering · 20 citations
https://doi.org/10.1186/s10033-019-0384-0
A novel feature mode decomposition method and its application for gear fault detection
2024 · Journal of Physics Conference Series · 2 citations
https://doi.org/10.1088/1742-6596/2762/1/012034
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat