Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition—Multipoint Optimal Minimum Entropy Deconvolution Adjusted
- DOI
- 10.3390/e28070797
- Published
- 2026-07-14
- Container
- Entropy
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/e28070797,
title = {Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition—Multipoint Optimal Minimum Entropy Deconvolution Adjusted},
author = {Longlong Li and Wenhao Chen and Wenhui Li and Yan Zhang and Jiaxin Liu and Runlin Chen},
year = {2026},
journal = {Entropy},
doi = {10.3390/e28070797},
url = {https://doi.org/10.3390/e28070797}
}RIS
TY - JOUR TI - Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition—Multipoint Optimal Minimum Entropy Deconvolution Adjusted AU - Longlong Li AU - Wenhao Chen AU - Wenhui Li AU - Yan Zhang AU - Jiaxin Liu AU - Runlin Chen PY - 2026 JO - Entropy DO - 10.3390/e28070797 UR - https://doi.org/10.3390/e28070797 ER -
APA
Li, L., Chen, W., Li, W., Zhang, Y., Liu, J., & Chen, R. (2026). Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition—Multipoint Optimal Minimum Entropy Deconvolution Adjusted. Entropy. https://doi.org/10.3390/e28070797
Source records
- crossref · retrieved 2026-09-27T16:20:10.586Z