Results 151 to 160 of about 124,242 (306)

Insulator fault feature extraction system of substation equipment based on machine vision

IET Networks, EarlyView., 2022
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang, Qiaoqun Xia, Lijun Ma, Xin Xu, Zhipeng Shao   +4 more
wiley   +1 more source

Secure and Time-Aware Communication of Wireless Sensors Monitoring Overhead Transmission Lines. [PDF]

Sensors (Basel), 2017
Mazur K, Wydra M, Ksiezopolski B.
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

A Novel Transient Fault Current Sensor Based on the PCB Rogowski Coil for Overhead Transmission Lines. [PDF]

Sensors (Basel), 2016
Liu Y, Xie X, Hu Y, Qian Y, Sheng G, Jiang X.   +5 more
europepmc   +1 more source

Incorporating Crowdsourced Data Into Operational Products: A Perspective From a National Meteorological Service

International Journal of Climatology, EarlyView.
Future advances in the fields of meteorology and climate science will require scientists to increasingly strive towards the provision of new high‐resolution services. In this context, the development of new products and services along the weather chain may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high ...
Irene Garcia‐Marti, Christopher W. Brown, Alessandro Spinuso, Gijsbert Kruithof, Theo Brandsma, Jan Willem Noteboom   +5 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

The Reusable Load Cell with Protection Applied for Online Monitoring of Overhead Transmission Lines Based on Fiber Bragg Grating. [PDF]

Sensors (Basel), 2016
Ma G, Mao N, Li Y, Jiang J, Zhou H, Li C.   +5 more
europepmc   +1 more source

Field Studies on the Influence of High‐Voltage Direct Transmission Underground Cables on Soils Along the SuedLink Route in Southwest Germany

Journal of Plant Nutrition and Soil Science, EarlyView.
During regular operation of the SuedLink at a load ≤75 %, the average increase in temperature in the plowing horizon is expected to be less than 1.6°C in the soils along the route in Southwest Germany. ABSTRACT Background The SuedLink was planned as a high‐voltage direct‐current underground cable route. The construction itself is a massive intervention
Joachim Ingwersen, Alexander Schade, Andreas Lehmann, Jonas Trenz, Maja Schreiber, Christoph Drefke, Harald Schramm, Christian Bidlingmaier, Simone Graeff‐Hönninger, Thilo Streck, Karl Wieland   +10 more
wiley   +1 more source

A Power‐Efficient Monte Carlo Framework for Nonlinear Light–Matter Interactions: In Silico Modeling of Spontaneous and Stimulated Raman Scattering in Turbid Media

Journal of Raman Spectroscopy, EarlyView.
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko, Vladislav Yakovlev, Alexander Doronin   +2 more
wiley   +1 more source