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Blind Source Separation of Transformer Acoustic Signal Based on Sparse Component Analysis
In the acoustics-based power transformer fault diagnosis, a transformer acoustic signal collected by an acoustic sensor is generally mixed with a large number of interference signals.
Guo Wang +3 more
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Distributed Acoustic Sensing Based on Coherent Microwave Photonics Interferometry
A microwave photonics method has been developed for measuring distributed acoustic signals. This method uses microwave-modulated low coherence light as a probe to interrogate distributed in-fiber interferometers, which are used to measure acoustic ...
Liwei Hua +9 more
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Background Thoracic aortic aneurysm or dissections (TAADs) represent a group of life-threatening diseases. Genetic aetiology can affect the age of onset, clinical phenotype, and timing of intervention.
Yanyu Duan +21 more
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Fast and accurate annotation of acoustic signals with deep neural networks
Acoustic signals serve communication within and across species throughout the animal kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication requires annotating acoustic signals: segmenting and identifying individual ...
Elsa Steinfath +4 more
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The Energy Spectrum of the Acoustic Emission Signals of Nanoscale Objects [PDF]
A one-dimensional discrete-continuum model of the energy spectrum of the acoustic emission signal, allowing filter oscillating components of the acoustic emission signals.
V.V. Marasanov, A.A. Sharko
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Energy Spectrum of Acoustic Emission Signals in Complex Media [PDF]
A model of the energy spectrum of acoustic emission signals in complex structures with internal degrees of freedom is proposed. On the basis of the computational experiment of X-ray diffraction data, a quantum mechanical calculation of the applicability ...
V.V.В Marasanov, A.A.В Sharko
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Techniques for reducing the reflection of acoustic signals have recently been actively studied. Most methods for reducing acoustic signals were studied using the normal-incidence wave reduction technique.
Joo Young Pyun +7 more
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Signal Identification of Wire Breaking in Bridge Cables Based on Machine Learning
With the booming development of bridge construction, bridge operation and maintenance have always been major issues to ensure the safety of the community.
Guangming Li +4 more
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In view of the difficulty in signal identification in vibration acoustic detection of post porcelain insulators, A BP (backpropagation) neural network identification method based on variational mode decomposition (VMD) is proposed to identify the damage ...
LUO Hongjian +3 more
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Broadband acoustic signal enhancement via gradient metamaterials coupled to crystals
In this work, a phononic crystal gradient metamaterial structure (PCGMs) is proposed based on the strong wave compression effect coupled with equivalent medium theory to achieve enhancement and directional sensing of weak target acoustic signals ...
Sai Zhang +4 more
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