Results 31 to 40 of about 368 (185)
Artificial Intelligence for Engineering, EarlyView.NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury +4 more
wiley +1 more source
Analysis of temperature distribution in the annular mixing chamber of a gas turbine engine
Авіаційно-космічна техніка та технологіяThe object of this research was the mixing chamber of a turbofan engine. The subject of this study was the thermogasdynamic processes in the mixing chamber of the turbojet engine before the turbine of the turbofan stage.
Illia Yudin
doaj +1 more source
Modelling of a turbojet gas turbine engine [PDF]
2015 Internet Technologies and Applications (ITA), 2015 Gas turbines are one of the most important internal combustion engines in the modern world's transportation. Any possible improvements of the performance of the gas turbine engines would help to minimize the world's annual fossil fuel consumption and hence the emissions of the adverse greenhouse gases.
Klein, D. +1 more
openaire +2 more sources
Planning and Control for Autonomous Landing of Quadrotor Unmanned Aerial Vehicles With Disturbances
Engineering Reports, Volume 8, Issue 9, September 2026.This paper proposes a trajectory planning method for autonomous landing and designs a disturbance‐compensated nonlinear model predictive controller (NMPC) for environments under wind disturbances. An efficient trajectory planning method based on MINCO is proposed, which transforms the trajectory planning problem into an optimization problem.
Xiaokang Zhu +6 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin +4 more
wiley +1 more source
Time Series Domain Adaptation: A Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon +2 more
wiley +1 more source
Hybrid‐Electric Aeroengines: Strategic Technical Pathways and Environmental Implications
Advanced Energy and Sustainability Research, Volume 7, Issue 8, August 2026.Hybrid‐electric propulsion systems represent a transformative frontier in aerospace engineering, critical for achieving sustainable aviation. This review synthesizes recent breakthroughs in hybrid‐energy aero‐engine design, critically evaluating key technological pillars.
Yankun Wang, Mingkui Wang
wiley +1 more source
Evaluation of Turbojet Engine with Water Injection for Aircraft Use as Controlled Object
AerospaceThis study addresses an under-represented topic in turbojets’ design—the characterizing of this type of engine as an entity subject to automatic control.
Alexandru-Nicolae Tudosie, Mihai Lungu
doaj +1 more source
Intelligent Situational Control of Small Turbojet Engines
International Journal of Aerospace Engineering, 2018 Improvements in reliability, safety, and operational efficiency of aeroengines can be brought in a cost-effective way using advanced control concepts, thus requiring only software updates of their digital control systems.
Rudolf Andoga +6 more
doaj +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4322-4336, August 2026.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source