Results 51 to 60 of about 11,959 (300)

Identification of Defects Supporting PD in Rotating Machines with Different Insulation Technologies

open access: yes, 2018
The problem of an objective identification of defects supporting Partial Discharges (PD) in different types of insulation systems adopted in ac rotating machines, is approached.
Andrea Cavalini   +2 more
core   +1 more source

Computer Vision for DC Partial Discharge Diagnostics in Traction Battery Systems

open access: yesWorld Electric Vehicle Journal, 2023
The tendency towards thin insulation layers in traction battery systems presents new challenges regarding insulation quality and service life. Phase-resolved DC partial discharge diagnostics can help to identify defects.
Ronan Sangouard   +2 more
doaj   +1 more source

Electrical resistance of individual defects at a topological insulator surface [PDF]

open access: yesNature Communications, 2017
AbstractThree-dimensional topological insulators host surface states with linear dispersion, which manifest as a Dirac cone. Nanoscale transport measurements provide direct access to the transport properties of the Dirac cone in real space and allow the detailed investigation of charge carrier scattering.
Felix Lüpke   +12 more
openaire   +6 more sources

Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula   +7 more
wiley   +1 more source

Detection of insulation defects in the wire through measuring changes in its capacitance [PDF]

open access: yes, 2018
The paper describes the technique to detect local wire insulation defects through measuring the wire capacitance. The operating principle of the CAP-10 device is explained.
Vavilova, Galina Vasilievna   +3 more
core   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera   +8 more
wiley   +1 more source

Intelligent identification method of insulation pull rod defects based on intactness‐aware Mosaic data augmentation and fusion of YOLOv5s

open access: yesHigh Voltage
The authors introduce the intactness‐aware Mosaic data augmentation strategy, designed to tackle challenges such as low accuracy in detecting defects in insulation pull rods, limited timeliness in intelligent analysis, and the absence of a comprehensive ...
Changyun Li   +4 more
doaj   +1 more source

Ultrasonic characteristics of compound interface defects of high voltage cable accessory and its correlation with insulation properties

open access: yesPolymer Testing
Insulation defects in high-voltage cable accessories easily induce partial discharge and even severe faults under sustained electrical stress, threatening cable line safe operation directly.
Yanhui Wei   +5 more
doaj   +1 more source

A Study on the Propagation Characteristics of Partial Discharge in Cable Joints Based on the FDTD Method

open access: yesIEEE Access, 2020
Partial discharge (PD) is the main cause of cable insulation deterioration. It is of great theoretical significance and practical value to carry out PD research on high voltage (HV) cable joints for fault detection and operational status evaluation.
Yifan Zhou, Yongliang Wang, Wei Wang
doaj   +1 more source

A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect

open access: yesIET Generation, Transmission & Distribution, 2021
Recently, numerous data‐driven fault diagnosis methods have been developed, and the tasks involving the same distribution of training and test data have been well solved.
Yanxin Wang   +5 more
doaj   +1 more source

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