Results 61 to 70 of about 13,871 (285)

Intelligent Defect Identification Based on PECT Signals and an Optimized Two-Dimensional Deep Convolutional Network

Complexity, 2020
Accurate and rapid defect identification based on pulsed eddy current testing (PECT) plays an important role in the structural integrity and health monitoring (SIHM) of in-service equipment in the renewable energy system.
Baoling Liu, Jun He, Xiaocui Yuan, Huiling Hu, Xuan Zeng, Zhifang Zhu, Jie Peng   +6 more
doaj   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Automated Precision Amplitudes and Phases Measurement of Polyharmonic Eddy Current Signals of Non-destructive Testing

Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni Kììvsʹkij Polìtehnìčnij Ìnstitut: Serìâ Radìotehnìka, Radìoaparatobuduvannâ, 2023
The development of electronic systems like Field-Programmable Gate Array (FPGA) made them available for mass commercial use. This created conditions for the development and application of software and technical tools implemented on FPGA algorithms for ...
V. G. Bazhenov, Yu. O. Kalenychenko, S. S. Ratsebarskiy, K. A. Gloinik   +3 more
doaj   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

Directional Deep Brain Stimulation for Parkinson's Disease: Results of an International Crossover Study With Randomized, Double‐Blind Primary Endpoint

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objective Published reports on directional deep brain stimulation (DBS) have been limited to small, single‐center investigations. Therapeutic window (TW) is used to describe the range of stimulation amplitudes achieving symptom relief without side effects.
Alfons Schnitzler, Pablo Mir, Matthew A. Brodsky, Leonard Verhagen, Sergiu Groppa, Ramiro Alvarez, Andrew Evans, Marta Blazquez, Sean Nagel, Julie G. Pilitsis, Monika Pötter‐Nerger, Winona Tse, Leonardo Almeida, Nestor Tomycz, Joohi Jimenez‐Shahed, Witold Libionka, Fatima Carrillo, Christian J. Hartmann, Stefan Jun Groiss, Martin Glaser, Florence Defresne, Edward Karst, Binith Cheeran, Jan Vesper, for the PROGRESS Study Investigators   +24 more
wiley   +1 more source

Traditional Eddy Current–Pulsed Eddy Current Fusion Diagnostic Technique for Multiple Micro-Cracks in Metals

Sensors, 2018
Due to a harsh working environment, micro-cracks in metal structures (e.g., airplane, oil/gas pipeline, hydro-turbine) often lead to serious accidents, so health monitoring of the metals is of great significance to ensure their safe operation.
Zhenwei Wang, Yating Yu
doaj   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Metals, 2018
Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals.
Jue Hu, Weiping Xu, Bin Gao, Gui Yun Tian, Yizhe Wang, Yingchun Wu, Ying Yin, Juan Chen   +7 more
doaj   +1 more source

Infrared Thermography for Weld Inspection: Feasibility and Application [PDF]

, 2018
Traditional ultrasonic testing (UT) techniques have been widely used to detect surface and sub-surface defects of welds. UT inspection is a contact method which burdens the manufacturer by storing hot specimens for inspection when the material is cool ...
Collins, William, Dorafshan, Sattar, Maguire, Marc   +2 more
core   +1 more source

Advances in test and measurement of the interface adhesion and bond strengths in coating-substrate systems, emphasising blister and bulk techniques [PDF]

, 2019
In this paper, recent advances in the minimum-destructive testing of the adhesion of coating-substrate systems are reviewed, focusing on key techniques such as micro- and nano-scale levels of indentation, scratching, laser-induced wave shock, as well as ...
Chen, X., Gelman, L., Grattan, K. T. V., Shaw, C.   +3 more
core   +2 more sources