Materials Science

声发射噪声信号识别

Acoustic emission noise signal identification

A signal processing and machine learning methodology used to analyze acoustic emission (AE) signals generated during the fatigue testing of 3D woven composites to identify noise components without relying on labeled data. / 一种信号处理与机器学习方法，用于分析3D编织复合材料疲劳测试中产生的声发射信号，以识别噪声成分且不依赖标签数据。

Knowledge type: 工艺技术
First proposed or discovered
Proposer: Turkey Farm member
Creator: 农场主
Last updated: 2026-11-10 20:06:45

Sub-knowledge points

Fatigue testing of 3D woven compositesPhysics-guided label-free learningSignal identification

Higher-order knowledge points

No connected node yet

Main parameters and performance indicators

3D woven composites: The material subject to fatigue testingAcoustic emission (AE) signals: The physical signals generated by material deformation and failurePhysics-guided label-free learning: The machine learning framework used for signal classification

Open problems

No unresolved problem recorded yet

Related literature

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Acoustic emission noise signal identification in fatigue testing of 3D woven composites through physics-guided label-free learningOpen source

声发射噪声信号识别

Sub-knowledge points

Higher-order knowledge points

Main parameters and performance indicators

Open problems

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