Low-rank and sparse model: A new perspective for rolling element bearing diagnosis
- DOI
- 10.1109/icirt.2018.8641577
- Published
- 2018-12
- Container
- 2018 International Conference on Intelligent Rail Transportation (ICIRT)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/icirt.2018.8641577,
title = {Low-rank and sparse model: A new perspective for rolling element bearing diagnosis},
author = {Ge Xin and Yong Qin and Li-Min Jia and Shun-Jie Zhang and Jerome Antoni},
year = {2018},
journal = {2018 International Conference on Intelligent Rail Transportation (ICIRT)},
doi = {10.1109/icirt.2018.8641577},
url = {https://doi.org/10.1109/icirt.2018.8641577}
}RIS
TY - JOUR TI - Low-rank and sparse model: A new perspective for rolling element bearing diagnosis AU - Ge Xin AU - Yong Qin AU - Li-Min Jia AU - Shun-Jie Zhang AU - Jerome Antoni PY - 2018 JO - 2018 International Conference on Intelligent Rail Transportation (ICIRT) DO - 10.1109/icirt.2018.8641577 UR - https://doi.org/10.1109/icirt.2018.8641577 ER -
APA
Xin, G., Qin, Y., Jia, L., Zhang, S., & Antoni, J. (2018). Low-rank and sparse model: A new perspective for rolling element bearing diagnosis. 2018 International Conference on Intelligent Rail Transportation (ICIRT). https://doi.org/10.1109/icirt.2018.8641577
Source records
- crossref · retrieved 2026-09-26T15:41:52.498Z