Article

A Non-Intrusive Framework Using Acoustic Signals and Deep Learning for Boiling Diagnostics in Visual-Limited Environments

2026-01-07

Abstract excerpt

<title>Abstract</title> <p>Accurate monitoring of boiling heat transfer is critical for safeguarding high-power systems operating in environments where conventional optical diagnostics are hindered by radiation fields or restricted visual accessibility. This study presents a non-intrusive framework that integrates hydroacoustic sensing with deep learning to infer near-wall boiling characteristics and enable predi...

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Literature Corpus work: 74a79044-ebd6-5e0b-b8a0-b52643d73b99
DOI: 10.21203/rs.3.rs-8436757/v1

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