Results 41 to 50 of about 316 (176)
This article discusses the “lab‐to‐life” journey of supercapacitors, highlighting various electrode materials including carbon‐based materials, transition metal oxides, MXenes, high‐entropy materials, and hybrid composites, along with advanced electrode materials engineering strategies.
Snehal L. Kadam +6 more
wiley +1 more source
Biotribological Modelling and Performance Analysis of Blood Pumps Using Machine Learning
ABSTRACT The design and operation of blood pumps are very complex and expensive to save lives of patients suffering from heart ailments. Machine learning approaches may be those better affordable ones which can be used to enhance understanding of correlation between operating parameters and performance of the pumps that is between pressure rise in ...
Vipin Kumar +3 more
wiley +1 more source
Simulation of a high-speed maglev train on an elastic guideway of infinite length
Simulations of the coupled vehicle/guideway dynamics are an essential part in the development of high-speed magnetic levitation (maglev) systems with higher speed than traveled so far. In this contribution, a two-dimensional rigid multibody model mapping the heave-pitch motion of the vehicle is presented and used for dynamics simulations of the vehicle
Schneider, Georg +5 more
openaire +2 more sources
In high‐speed maglev trains, the active guidance system is responsible for centring the vehicle relative to the track, a function that becomes critical under centrifugal forces, crosswinds, and track irregularities. To address the limitations of existing control methods in multi‐disturbance environments, this paper proposes a gap‐loop active ...
Zhiqiang Wang +3 more
wiley +1 more source
Sliding‐Mode Control of Electromagnetic Suspension Systems Considering Disturbance Compensation
This study proposes an integrated control strategy for magnetic levitation systems, combining a cascaded linear extended state observer with an improved sliding‐mode control. This method accurately estimates and compensates for disturbances, significantly enhancing suspension stability and rejection capability.
Hailin Hu +4 more
wiley +1 more source
Communication simulation of on-board diagnosis network in high-speed Maglev trains [PDF]
The on-board diagnosis network is the nervous system of high-speed Maglev trains, connecting all controller, sensors, and corresponding devices to realize the information acquisition and control. In order to study the on-board diagnosis network’s security and reliability, a simulation model for the on-board diagnosis network of high-speed Maglev trains
Zhigang Liu, Yunchang Hou, Weijie Fu
openaire +1 more source
In this paper, a 3D multi‐source GBSM model is proposed for the vacuum tube scenario using LCX. By equating the periodic slots to multiple magnetic dipole antennas, the electric field distribution of LCX is deduced, and the CIR expression is derived. Based on this, the multi‐link spatial‐temporal correlations, including the spatial CCF and temporal ACF,
Kai Wang +4 more
wiley +1 more source
This paper proposes a novel power loss reduction PWM (PLRPWM) strategy for three‐level neutral point clamped inverters. The proposed strategy aims to achieve multi‐objective optimisation by balancing low output harmonics, reduced switching losses and a balanced neutral‐point potential. ABSTRACT Three‐level neutral point clamped (3L‐NPC) converters have
Chaoqun Xiang +5 more
wiley +1 more source
Research Status and Development of High-speed Maglev Wireless Communication Technology
The research status of maglev wireless communication technology at home and abroad was introduced, focusing on the communication technology solutions of Shanghai maglev special line, Japan Yamanashi test line and US super high-speed railway competition ...
Kai TIAN, Rui YAN, Peng WAN
doaj
Bibliometric Analysis of Transport Infrastructure Hypernetwork: Review and Prospects
The transport infrastructure is transitioning into a multilayer, multifunctional hypernetwork form, posing challenges to traditional single‐mode planning methods in analyzing cross‐system risk transmission mechanisms and achieving spatiotemporal resource optimization. This leads to suboptimal system synergy and resilience.
Zhiguo Shao +4 more
wiley +1 more source

