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Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods
Research article (Journal of Manufacturing Processes, 2024) · cited 15× · AI/ML
Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods
Summary
Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods is a scholarly article[1].
Key Facts
Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/thermal-characterization-of-the-spindle-bearing-system-under-different-working-conditions-based-on-a-hybrid-driven-frame
MLA“Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/thermal-characterization-of-the-spindle-bearing-system-under-different-working-conditions-based-on-a-hybrid-driven-frame.
BibTeX@misc{4ortxyz_thermal-characterization-of-the-spindle-bearing-system-under-different-working-conditions-based-on-a-hybrid-driven-frame_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods}}, year = {2026}, url = {https://4ort.xyz/entity/thermal-characterization-of-the-spindle-bearing-system-under-different-working-conditions-based-on-a-hybrid-driven-frame}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Thermal characterization of the spindle-bearing system under different working conditions based on a hybrid-driven framework combining data-driven and model-based methods — https://4ort.xyz/entity/thermal-characterization-of-the-spindle-bearing-system-under-different-working-conditions-based-on-a-hybrid-driven-frame (retrieved 2026-05-24)
