Results 111 to 120 of about 4,324,670 (291)

Distribution fault location using short-circuit fault current profile approach [PDF]

open access: yes, 2012
textPopularly used impedance-based methods need voltage and current waveform as well as line impedance per unit length to estimate distance to fault location.
Das, Swagata
core   +1 more source

Fault location scheme of HVDC converter based on fault loop analysis

open access: yesInternational Journal of Electrical Power & Energy Systems
In order to solve the problem that multiple faults in the converter area will trigger the valve short-circuit protection action, and the fault location cannot be directly located according to the protection action result, a novel converter fault location
Dalin Mu   +5 more
doaj   +1 more source

Fault Current Detection Based on Neural Network in Hybrid Circuit Breaker

open access: yes, 2011
Power system short circuit and fault current detection circuit breaker is a hybrid produced the basis for action, rapid detection methods and effectiveness of a direct impact on the circuit breaker switch performance.
Yue Feng, Yang Zhao, Qi Yong Wen
core   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

open access: yesAdvanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo   +7 more
wiley   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

open access: yesAdvanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Advancing Fault Detection in Distribution Networks with a Real-Time Approach Using Robust RVFLN

open access: yesApplied Sciences
In this paper, the fault type and location of high-impedance short-circuit faults, which are difficult to detect in distribution networks, are determined in real time using the Real-Time Digital Simulator (RTDS).
Cem Haydaroğlu   +3 more
doaj   +1 more source

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

open access: yesAdvanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee   +16 more
wiley   +1 more source

Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport

open access: yesAdvanced Materials, EarlyView.
Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi   +8 more
wiley   +1 more source

The arc-fault circuit protection

open access: yes, 2001
In electrical power systems bolted short-circuits are rare and the fault usually involves arcing and burning; mostly the limit value of minimum short-circuit depends really on arcing-fault.
L. Benetti   +6 more
core   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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