Results 51 to 60 of about 4,390 (154)

Early detection and location of unexpected events in buried pipelines under unseen conditions using the two‐stream global fusion classifier model

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Failure of buried pipelines can result in serious impacts, such as explosions, environmental contamination, and economic losses. Early detection and location of unexpected events is crucial to prevent such events. However, conventional monitoring methods exhibit limited generalization performance under varying environmental and operational ...
Sun‐Ho Lee, Choon‐Su Park, Dong‐Jin Yoon   +2 more
wiley   +1 more source

Gear Fault Diagnosis Method Based on Deep Transfer Learning

Jixie chuandong, 2023
Aiming at the problem of insufficient gear fault samples, a fault diagnosis method of transfer learning based on Hilbert-Huang spectrum and pre-trained VGG16 model is proposed.
Liu Shihao, Wang Xiyang, Gong Tingkai
doaj   +2 more sources

Deep learning for computer vision in pulse‐like ground motion identification

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Near‐fault pulse‐like ground motions can cause severe damage to long‐period engineering structures. A rapid and accurate identification method is essential for seismic design. Deep learning offers a solution by framing pulse‐like motion identification as an image classification task.
Lu Han, Zhengru Tao
wiley   +1 more source

Cutting force response in milling of Inconel: analysis by wavelet and Hilbert-Huang Transforms

Latin American Journal of Solids and Structures
We study the milling process of Inconel. By continuously increasing the cutting depth we follow the system response and appearance of oscillations of larger amplitude.
Grzegorz Litak, Krzysztof Kecik, Rafal Rusinek   +2 more
doaj   +1 more source

Permanent magnet synchronous machine stator windings fault detection by Hilbert–Huang transform

The Journal of Engineering, 2019
The Hilbert–Huang transform (HHT) is a time-frequency signal analysis method based on empirical mode decomposition and the Hilbert transform. It is well suited for reliable fault detection since it is unaffected by transient conditions which might cause ...
Fernando Alvarez-Gonzalez, Antonio Griffo, Antonio Griffo, Bo Wang   +3 more
doaj   +1 more source

Resolving allogenic forcings on shallow‐marine sedimentary archives of the Taiwan Western Foreland Basin

Sedimentology, EarlyView.
ABSTRACT An investigation of allogenic forcings on shallow‐marine strata of the Miocene–Pliocene Kueichulin Formation, Taiwan Western Foreland Basin, reveals that shifts in palaeoenvironments were strongly controlled by: (1) orogenesis and basin subsidence, (2) precession‐driven hydroclimate and (3) obliquity‐driven atmospheric and ocean circulation ...
Amy I. Hsieh, Romain Vaucher, James A. MacEachern, Christian Zeeden, Chuqiao Huang, Andrew T. Lin, Ludvig Löwemark, Shahin E. Dashtgard   +7 more
wiley   +1 more source

Automatic Signal Discrimination Using Machine Learning on the Data From the Central and Eastern European Infrasound Network

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 14, 28 July 2025.
Abstract A labeled data set of 216,681 infrasound detections was compiled using data from the Central and Eastern European Infrasound Network (CEEIN). Detections associated with quarry blasts, thunderstorms, eruptions of the Etna volcano, industrial activity, and the war in Ukraine were categorized using ground truth information, such as seismic and ...
Marcell Pásztor, Tereza Sindelarova, Daniela Ghica, Ulrike Mitterbauer, Oleksandr Liashchuk, Giorgio Lacanna, Maurizio Ripepe, István Bondár   +7 more
wiley   +1 more source

The application of Hilbert–Huang transform energy spectrum in brushless direct current motor vibration signals monitoring of unmanned aerial vehicle

Advances in Mechanical Engineering, 2016
Due to the characteristics of structure, brushless direct current motor has a long lifetime, which makes it more difficult to obtain failure data. Accordingly, valid degeneration characteristics are required in life prediction.
Wenhui Fan, Xiaohong Wang, Lizhi Wang, Zhan Yu   +3 more
doaj   +1 more source

Comparative analysis of series fault arc detection methods

Gong-kuang zidonghua, 2017
For uncertainty of line fault location, current series fault arc detection methods are mainly based on current signal analysis. By comparing current waveforms before and after series arc fault under different loads, characteristics and regularities of ...
GUO Fengyi, BILGUUN Baatar, REN Xue, FANG Zhipeng, ZHANG Hongbo   +4 more
doaj   +1 more source

Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications

Engineering Reports, Volume 7, Issue 7, July 2025.
Drilling tools are of paramount importance for mechanical metal cutting. Breakage or wear in the drilling tool can result in catastrophic failure, reduced dimensional accuracy, and poor surface finish. Therefore, it is imperative to continuously monitor drilling tools. In addition, it has been demonstrated that the mechanical metal‐cutting industry can
Chandan M. N, Himadri Majumder, Sharad Mulik, Nikhil Rangaswamy, Mukesh Kumar, Sowmyashree H. Srinivasaiah   +5 more
wiley   +1 more source