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Academic Journal

Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains.

Authors : Mohammad, Housam¹ (AUTHOR) ; Vlasic, Frantisek¹ (AUTHOR); Zacek, Jiri¹ (AUTHOR)

Source: Nondestructive Testing & Evaluation. Dec2024, Vol. 39 Issue 8, p2108-2131. 24p.

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Academic Journal

Uniaxial Compressive Failure Characteristics and Fractal Analysis of Mud–Sand Composite Rock Samples Based on Acoustic Emission Tests.

Authors : Zhao, Changzheng¹ (AUTHOR) ; Cao, Shenggen¹ (AUTHOR) ; Lang, Shihui² (AUTHOR)

Source: Fractal & Fractional. Dec2024, Vol. 8 Issue 12, p713. 17p.

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Academic Journal

Prediction of the Released Mechanical Energy of Loaded Lap Shear Joints by Acoustic Emission Measurements.

Authors : Wolfsgruber, Thomas¹ (AUTHOR) ; Schagerl, Martin¹ (AUTHOR); Kralovec, Christoph¹ (AUTHOR)

Source: Sensors (14248220). Nov2024, Vol. 24 Issue 22, p7230. 17p.

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Academic Journal

Model Test on Acoustic Emission Monitoring of Loess Slope Failure.

Authors : Yang, Xiaoyu¹ (AUTHOR) ; Sun, Xiaohui¹ (AUTHOR); He, Shengdi¹ (AUTHOR)

Source: Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6851. 15p.

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Performance evaluation of deep learning approaches for fault diagnosis of rotational mechanical systems using vibration, sound, and acoustic emission signals.

Authors : Praveen Kumar, T¹ (AUTHOR) ; Buvaanesh, R² (AUTHOR); Saimurugan, M³ (AUTHOR)

Source: Journal of Low Frequency Noise, Vibration & Active Control. Sep2024, Vol. 43 Issue 3, p1363-1380. 18p.

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Academic Journal

Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis.

Authors : Ma, Shaojie¹ (AUTHOR); Zhou, Yan² (AUTHOR) ; Ma, Depeng² (AUTHOR)

Source: Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-11. 11p.

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Academic Journal

Combination of In Situ Diffraction Experiments and Acoustic Emission Testing to Understand Compression Behavior of Mg-Gd Alloys.

Authors : Garces, Gerardo¹ (AUTHOR) ; Chavez, Bryan W.² (AUTHOR) ; Pérez, Pablo¹ (AUTHOR)

Source: Materials (1996-1944). Nov2024, Vol. 17 Issue 22, p5654. 25p.

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Academic Journal

Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission.

Authors : Bi, Haisheng¹ (AUTHOR) ; Zhang, Yuhong¹ (AUTHOR) ; Zhang, Chen¹ (AUTHOR)

Source: Polymers (20734360). Aug2024, Vol. 16 Issue 16, p2272. 18p.

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Academic Journal

Study on stage characteristics of hydraulic concrete fracture under uniaxial compression using acoustic emission.

Authors : Yan, Xiaoqun^1,2 (AUTHOR); Su, Huaizhi^1,2,3 (AUTHOR) ; Ai, Li⁴ (AUTHOR)

Source: Nondestructive Testing & Evaluation. Aug2024, Vol. 39 Issue 5, p1315-1344. 30p.

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Academic Journal

A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET).

Authors : Khoshouei, Mehrbod¹; Bagherpour, Raheb¹ ; Yari, Mojtaba²

Source: Scientific Reports. 8/26/2024, Vol. 14 Issue 1, p1-17. 17p.

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Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains.

Uniaxial Compressive Failure Characteristics and Fractal Analysis of Mud–Sand Composite Rock Samples Based on Acoustic Emission Tests.

Prediction of the Released Mechanical Energy of Loaded Lap Shear Joints by Acoustic Emission Measurements.

Model Test on Acoustic Emission Monitoring of Loess Slope Failure.

Performance evaluation of deep learning approaches for fault diagnosis of rotational mechanical systems using vibration, sound, and acoustic emission signals.

Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis.

Combination of In Situ Diffraction Experiments and Acoustic Emission Testing to Understand Compression Behavior of Mg-Gd Alloys.

Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission.

Study on stage characteristics of hydraulic concrete fracture under uniaxial compression using acoustic emission.

A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET).

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