Results 21 to 30 of about 111,836 (293)

Characterization of defect structures in nanocrystalline materials by X-ray line profile analysis [PDF]

, 2007
X-ray line profile analysis is a powerful alternative tool for determining dislocation densities, dislocation type, crystallite and subgrain size and size-distributions, and planar defects, especially the frequency of twin boundaries and stacking faults.
Tamás Ungár, Gubicza, Jenő, Jenõ Gubicza, Ungár, Tamás   +3 more
core   +1 more source

Pin Bolt State Identification Using Cascaded Object Detection Networks

Frontiers in Energy Research, 2022
Unmanned aerial vehicle-based transmission line inspections produce a large number of photos; significant manpower and time are required to inspect the abnormalities and faults in such photos.
Yaocheng Li, Zhe Li, Yadong Liu, Gehao Sheng, Xiuchen Jiang   +4 more
doaj   +1 more source

Machine-Learning-Based Classification for Pipeline Corrosion with Monte Carlo Probabilistic Analysis

Energies, 2023
Pipeline corrosion is one of the leading causes of failures in the transmission of gas and hazardous liquids in the oil and gas industry. In-line inspection is a non-destructive inspection for detecting corrosion defects in pipelines.
Mohd Fadly Hisham Ismail, Zazilah May, Vijanth Sagayan Asirvadam, Nazrul Anuar Nayan   +3 more
doaj   +1 more source

Structural design and simulation study of intelligent defect elimination equipment for high‐voltage transmission line pin defects

IET Generation, Transmission & Distribution, 2023
Transmission lines may suffer from pin defects, necessitating regular patrols and maintenance. The traditional maintenance approach not only involves a substantial workload and low efficiency but also poses a threat to the safety of maintenance personnel.
Shaotong Pei, Haichao Sun
doaj   +1 more source

Research on insulator defect detection algorithm of transmission line based on CenterNet

PLOS ONE, 2021
The reliability of the insulator has directly affected the stable operation of electric power system. The detection of defective insulators has always been an important issue in smart grid systems. However, the traditional transmission line detection method has low accuracy and poor real-time performance. We present an insulator defect detection method
Chunming Wu, Xin Ma, Xiangxu Kong, Haichao Zhu   +3 more
openaire   +4 more sources

The effect of structural defects on the electron transport of MoS2 nanoribbons based on density functional theory

Journal of Theoretical and Applied Physics, 2019
Using non-equilibrium Green’s function method and density functional theory, we study the effect of line structural defects on the electron transport of zigzag molybdenum disulfide (MoS2) nanoribbons.
Farahnaz Zakerian, Morteza Fathipour, Rahim Faez, Ghafar Darvish   +3 more
doaj   +1 more source

Development and Application of Live Replacement of Insulator Suspension Tool Components for Transmission Lines [PDF]

E3S Web of Conferences, 2019
Transmission line insulators will reduce the insulation level and become low-value insulators because of lightning flashover. Toughened glass insulators are used in 500kV Tongfeng 1 and 2 lines in Tonghua area.
Jun Ma, Liang Yu, Yonggang Shi, Gang Dong, Fuxing Gong, Kegang Wei, Xin Su, Yushuai Ren   +7 more
doaj   +1 more source

Line defects in epitaxial silicon films grown at 560 C

, 2006
We present an investigation of line defects in epitaxially grown silicon layers using Secco defect etching and transmission electron microscopy TEM .
Stöger Pollach, M., Sieber, I., Eyidi, D., Gall, S., Lips, K., Schubert Bischoff, P., Fuhs, W., Petter, K., Rau, B., Tham, A.T., Schattschneider, P.   +10 more
core   +3 more sources

An Automatic Recognition and Defect Diagnosis Model of Transmission Line Insulator Based on YOLOv2 Network

Zhongguo dianli, 2019
Aiming at the transmission line insulator images obtained by drones or robots, this paper proposes an online recognition and defect diagnosis model of transmission line insulators based on YOLOv2 network.
Qiupin LAI, Jun YANG, Bendong TAN, Liang WANG, Siyao FU, Liwei HAN   +5 more
doaj   +1 more source

Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm

International Journal of Thermofluids
Electricity transmission line is the most significant way of power transmission. Regular detection of it can find and eliminate its defects and hidden dangers in time and prevent major accidents, which is of great significance to the power system.
Xiang Yin, Ya Zuo, Gaoshan Fu
doaj   +1 more source