A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning Tekijä Sajjad Ahmad, Zahoor Ahmad, Cheol-Hong Kim, Jong-Myon Kim

Aiheet: “…acoustic emission signals…”
Hae kokoteksti

Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing Tekijä Beatriz de Agustina, Marta María Marín, Roberto Teti, Eva María Rubio

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Evaluation of Acoustic Emission Sources during Monitoring of Incipient Damage Detection in Rolling Contact Fatigue Tekijä Md. Ziaur Rahman, Hiroaki Ohba, Takeo Yoshioka, Takashi Yamamoto

Aiheet: Hae kokoteksti

Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality Tekijä M Zangane, M Shahbazi, Seyed Ali Niknam

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Intelligent Fault Diagnosis Method Using Acoustic Emission Signals for Bearings under Complex Working Conditions Tekijä Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim

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Analysis of Acoustic Emission Signals Processed with Wavelet Transform for Structural Damage Detection in Concrete Beams Tekijä Jose M. Machorro-Lopez, Jorge A. Hernandez-Figueroa, Francisco J. Carrion-Viramontes, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, Saul E. Crespo-Sanchez, Jesus J. Yanez-Borjas, Juan A. Quintana-Rodriguez, Luis A. Martinez-Trujano

Aiheet: “…acoustic emission signals…”
Hae kokoteksti

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems Tekijä Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim

Aiheet: Hae kokoteksti

The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data Tekijä Tu T.N. Luong, Jong-Myon Kim

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Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization Tekijä Muhammad Umar, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

Aiheet: “…acoustic emission signals…”
Hae kokoteksti

Detection of Diffusion Interlayers in Dissimilar Welded Joints in Processing Pipelines by Acoustic Emission Method Tekijä Vera Barat, Artem Marchenkov, Vladimir Bardakov, Dmitrij Arzumanyan, Sergey Ushanov, Marina Karpova, Egor Lepsheev, Sergey Elizarov

Aiheet: “…classification of acoustic emission signals…”
Hae kokoteksti

Pipeline leak diagnosis based on leak-augmented scalograms and deep learning Tekijä Muhammad Farooq Siddique, Zahoor Ahmad, Jong-Myon Kim

Aiheet: “…Acoustic emission signals…”
Hae kokoteksti

Denoising Acoustic Emission Signal using Wavelet Transforms for Determining the Micro Crack Location Inside of Concrete Tekijä I Gede Pasek Suta Wijaya, Ni Nyoman Kencanawati

Aiheet: “…Acoustic emission signal, Damage concrete, Denoising, SNR, Wavelet…”
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State Recognition of Bone Drilling Based on Acoustic Emission in Pedicle Screw Operation Tekijä Fengqing Guan, Yu Sun, Xiaozhi Qi, Ying Hu, Gang Yu, Jianwei Zhang

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INTELLIGENT FAULT DIAGNOSIS OF SYNCHROMESH GEARBOX USING FUSION OF VIBRATION AND ACOUSTIC EMISSION SIGNALS FOR PERFORMANCE ENHANCEMENT Tekijä T Praveenkumar, M Saimurugan, K I Ramachandran

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Propagation Characteristics of Acoustic Emission Signals in Stiffened Cylindrical Shells Based on the Multipath Propagation Model Tekijä Cong Han, Tong Liu, Zhenhuan Wu, Guoan Yang

Aiheet: “…acoustic emission signal…”
Hae kokoteksti

A STUDY ON FATIGUE DAMAGE IDENTIFICATION METHOD OF A BLADE COMPOSITE LAMINATE WITH DELAMINATION DEFECTS (MT) Tekijä YU FangAi, ZHOU Bo, ZHANG XueYan, XIN Wen

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Modelling of acoustic emission signals at friction of materials’ surface layers/Medžiagų paviršiaus trinties akustinės emisijos signalų modeliavimas Tekijä Sergay Filonenko, Viacheslav Stadnychenko, Anzhelika Stakhova

Aiheet: “…acoustic emission signal…”
Hae kokoteksti

Research of multiplicative noise reduction method for acoustic emission signal Tekijä MA Xiaoli, LIU Yancong, LI Chengkai, WANG Wenchao

Aiheet: “…acoustic emission signal…”
Hae kokoteksti

Improving the Performance of Convolutional GAN Using History-State Ensemble for Unsupervised Early Fault Detection with Acoustic Emission Signals Tekijä Yu Wang, Alexey Vinogradov

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Tilting Pad Thrust Bearing Fault Diagnosis Based on Acoustic Emission Signal and Modified Multi-Feature Fusion Convolutional Neural Network Tekijä Meijiao Mao, Zhiwen Jiang, Zhifei Tan, Wenqiang Xiao, Guangchao Du

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