Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM

Research article (Sensors, 2022) · cited 12× · AI/ML
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Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM

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Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/qualitative-classification-of-lubricating-oil-wear-particle-morphology-based-on-coaxial-capacitive-sensing-network-and-s
MLA “Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/qualitative-classification-of-lubricating-oil-wear-particle-morphology-based-on-coaxial-capacitive-sensing-network-and-s.
BibTeX @misc{4ortxyz_qualitative-classification-of-lubricating-oil-wear-particle-morphology-based-on-coaxial-capacitive-sensing-network-and-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM}}, year = {2026}, url = {https://4ort.xyz/entity/qualitative-classification-of-lubricating-oil-wear-particle-morphology-based-on-coaxial-capacitive-sensing-network-and-s}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM — https://4ort.xyz/entity/qualitative-classification-of-lubricating-oil-wear-particle-morphology-based-on-coaxial-capacitive-sensing-network-and-s (retrieved 2026-05-24)

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