Noninvasive pressure monitoring using acoustic resonance spectroscopy and machine learning
Monitoring pressure inside hermetically sealed vessels typically relies on devices that have direct contact with the fluid inside. Gaining this access requires a hole through the wall of the vessel, which creates potential for leaks, ruptures, and complete failures. To solve this, noninvasive soluti...
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| Glavni autori: | , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier
2024-12-01
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| Serija: | Machine Learning with Applications |
| Teme: | |
| Online pristup: | http://www.sciencedirect.com/science/article/pii/S2666827024000653 |
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