Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques

Research article (Journal of Sound and Vibration, 2024) · cited 10× · AI/ML
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Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques

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Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-unbalance-identification-in-steady-state-rotating-machinery-a-hybrid-methodology-integrating-physical-and-data-d
MLA “Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-unbalance-identification-in-steady-state-rotating-machinery-a-hybrid-methodology-integrating-physical-and-data-d.
BibTeX @misc{4ortxyz_dynamic-unbalance-identification-in-steady-state-rotating-machinery-a-hybrid-methodology-integrating-physical-and-data-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-unbalance-identification-in-steady-state-rotating-machinery-a-hybrid-methodology-integrating-physical-and-data-d}, note = {Accessed: 2026-05-24}}
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