Recent progress in AI-enabled compressor structural health monitoring: A review on materials, sensor technologies, and algorithms
- DOI
- 10.1016/j.aej.2026.03.005
- Published
- 2026-04
- Container
- Alexandria Engineering Journal
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aej.2026.03.005,
title = {Recent progress in AI-enabled compressor structural health monitoring: A review on materials, sensor technologies, and algorithms},
author = {Zeji Li and Ligu Liu and Fa Zhong and Tianchi Lu and Ka-Chun Wong},
year = {2026},
journal = {Alexandria Engineering Journal},
doi = {10.1016/j.aej.2026.03.005},
url = {https://doi.org/10.1016/j.aej.2026.03.005}
}RIS
TY - JOUR TI - Recent progress in AI-enabled compressor structural health monitoring: A review on materials, sensor technologies, and algorithms AU - Zeji Li AU - Ligu Liu AU - Fa Zhong AU - Tianchi Lu AU - Ka-Chun Wong PY - 2026 JO - Alexandria Engineering Journal DO - 10.1016/j.aej.2026.03.005 UR - https://doi.org/10.1016/j.aej.2026.03.005 ER -
APA
Li, Z., Liu, L., Zhong, F., Lu, T., & Wong, K. (2026). Recent progress in AI-enabled compressor structural health monitoring: A review on materials, sensor technologies, and algorithms. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2026.03.005
Source records
- crossref · retrieved 2026-09-25T18:43:40.445Z