Results 31 to 40 of about 425,127 (302)

Damage classification in reinforced concrete beam by acoustic emission signal analysis [PDF]

, 2013
Acoustic Emission (AE) is a non-destructive testing technique which can be used to identify both the damage level and the nature of that damage such as tensile cracks and shear movements at critical zones within a structure.
Aggelis, Aggelis, Aggelis, Carpinteri, Colombo, CU, Degala, Golaski, Holford, Holford, Karen M. Holford, Kocur, Lakshmi, Nair, Norazura Muhamad Bunnori, Ohtsu, Ohtsu, Ohtsu, Proverbio, Rhys Pulin, Shahidan, Shahiron Shahidan, Shiotani, Soulioti, Yuyama   +24 more
core   +1 more source

Fast algorithms for informed independent component/vector extraction

EURASIP Journal on Advances in Signal Processing
We propose new and efficient algorithms for semi-blind source extraction derived from the well-known FastICA for independent component analysis (ICA). The algorithms assume independence of the source of interest (SOI) and other signals in the mixture and
Zbyněk Koldovský, Jiří Málek, Jaroslav Čmejla, Martin Vrátný, Walter Kellermann   +4 more
doaj   +1 more source

An Improved Fine-Resolution Method for Frequency Estimation of Real-Valued Single-Tone Using Three DFT Samples

IEEE Access, 2019
With respect to the frequency estimation of a real-valued single-tone, a direct frequency estimation method is proposed to acquire fine-resolution parameter by only utilizing three discrete Fourier transform (DFT) samples around the peak. Inspired by the
Shuai Yao, Qisong Wu, Shiliang Fang
doaj   +1 more source

A Novel Feature-Based Detector for Underwater Acoustic Beacon Signals Using Superimposed Envelope Spectrum of Multi-Pulses

Journal of Marine Science and Engineering, 2021
For tackling the challenge of in-time searching a sea-crashed plane, it is critical to develop a convenient and reliable detector for the underwater beacon signal. In the application of signal detection, a conventional detector such as linear correlation
Shuai Yao, Yinjia Liu
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Room Impulse Response Dataset of a Recording Studio with Variable Wall Paneling Measured Using a 32-Channel Spherical Microphone Array and a B-Format Microphone Array

Applied Sciences
This paper introduces RSoANU, a dataset of real multichannel room impulse responses (RIRs) obtained in a recording studio. Compared to the current publicly available datasets, RSoANU distinguishes itself by featuring RIRs captured using both a 32-channel
Grace Chesworth, Amy Bastine, Thushara Abhayapala   +2 more
doaj   +1 more source

High-Resolution Through-the-Wall Radar Imaging with Exploitation of Target Structure

Applied Sciences, 2022
It is quite challenging for through-the-wall radar imaging (TWRI) to achieve high-resolution ghost-free imaging with limited measurements in an indoor multipath scenario.
Chendong Xu, Qisong Wu
doaj   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Classification of Road Surfaces Based on CNN Architecture and Tire Acoustical Signals

Applied Sciences, 2022
This paper presents a novel work for classification of road surfaces using deep learning method-based convolutional neural network (CNN) architecture. With the development of advanced driver assistance system (ADAS) and autonomous driving technologies ...
Jinhwan Yoo, Chang-Hun Lee, Hae-Min Jea, Sang-Kwon Lee, Youngsam Yoon, Jaehun Lee, Kiho Yum, Seoung-Uk Hwang   +7 more
doaj   +1 more source

On the Influence of Antioxidants and Recycled MgO–C Source Material on the Mechanical Properties of Carbon‐Bonded Magnesia Refractories

Advanced Engineering Materials, EarlyView.
The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann, Tom Weber, Jana Hubálková, Florian Kerber, Dinesh Kumar Gunasekar, Hans Jelitto, Christos G. Aneziris   +6 more
wiley   +1 more source