Dual-Domain Impulse Complexity Index-Guided Projection Iterative-Methods-Based Optimizer-Feature Mode Decomposition (DICI-Guided PIMO-FMD): A Robust Approach for Bearing Fault Diagnosis Under Strong Noise Conditions.
- DOI
- 10.3390/s25196174
- Published
- 2025 Oct 5
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/s25196174,
title = {Dual-Domain Impulse Complexity Index-Guided Projection Iterative-Methods-Based Optimizer-Feature Mode Decomposition (DICI-Guided PIMO-FMD): A Robust Approach for Bearing Fault Diagnosis Under Strong Noise Conditions.},
author = {Chen D and Xian Q and Yao C and Deng R and Yuan T},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25196174},
url = {https://doi.org/10.3390/s25196174}
}RIS
TY - JOUR TI - Dual-Domain Impulse Complexity Index-Guided Projection Iterative-Methods-Based Optimizer-Feature Mode Decomposition (DICI-Guided PIMO-FMD): A Robust Approach for Bearing Fault Diagnosis Under Strong Noise Conditions. AU - Chen D AU - Xian Q AU - Yao C AU - Deng R AU - Yuan T PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25196174 UR - https://doi.org/10.3390/s25196174 ER -
APA
D, C., Q, X., C, Y., R, D., & T, Y. (2025). Dual-Domain Impulse Complexity Index-Guided Projection Iterative-Methods-Based Optimizer-Feature Mode Decomposition (DICI-Guided PIMO-FMD): A Robust Approach for Bearing Fault Diagnosis Under Strong Noise Conditions.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25196174
Source records
- pubmed · retrieved 2026-09-25T03:18:33.081Z