Considering the dynamic uncertainty, input saturation, and the discrete characteristics of digital control, a practical path following method is proposed for unmanned surface vessels (USV).
Shuang Gao +4 more
doaj +1 more source
: Finding a reliable machines condition monitoring technique has been attracted many researchers to avoid the sudden failure in machines and the unexpected consequences. This work proposes a combined fault diagnosis methodology of air compressors using
Hussein Razzaq Al-Bugharbee +2 more
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This study aims to develop a large-scale climate classification for investigating the characteristics of the climate regimes around the Tibetan Plateau based on seasonal precipitation, moisture transport and moisture divergence using in situ observations
Xin-Gang Dai, Ping Wang
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Digital Twin-Enabled Thermal Energy Management System for Sustainable Manufacturing Process Optimization [PDF]
Manufacturing processes consume substantial thermal energy, yet siloed management approaches cannot exploit facility-wide synergies. This study develops and validates an integrated Digital Twin (DT) that fuses physics-based thermal models with machine ...
Otabek Mukhitdinov +4 more
doaj +1 more source
An Industry 4.0 Framework for the Smart Production Management of Renewable Energy and Water Systems: An Application of AI, IoT, and Digital Twin Technologies [PDF]
This study develops an integrated Industry 4.0 framework for smart production management in renewable energy systems applied to water processes. The framework combines artificial intelligence, the Internet of Things, and digital twin technologies to ...
Otabek Mukhitdinov +5 more
doaj +1 more source
Air-conditioning in residential buildings through absorption systems powered by solar collectors [PDF]
Over the past years, the scientific community has been exploring alternative solutions to the fossil fuels used for indoor air-conditioning. The solution here suggested is formed by absorption machines powered by solar panels used to air ...
Ciancio, Virgilio +2 more
core +1 more source
Multi-objective Optimization Framework for Energy Efficiency and Production Scheduling in Smart Manufacturing Using Reinforcement Learning and Digital Twin Technology Integration [PDF]
Manufacturing facilities face concurrent challenges of maximizing production efficiency while reducing energy consumption and environmental impact. Traditional scheduling approaches typically optimize for either production or energy metrics independently,
Bekzod Madaminov +5 more
doaj +1 more source
Privacy-Preserving Federated Learning for Predictive Maintenance in Smart Manufacturing Networks [PDF]
Smart manufacturing environments (digitalized production systems with integrated sensor networks and data analytics capabilities) require advanced predictive maintenance capabilities, yet implementation faces significant barriers due to data privacy ...
Yulineth Cárdenas Escorcia +6 more
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Condition Setting and Result Evaluation of Air-to-Air Missile Combat Test [PDF]
It is of great significance to establish the conditions and evaluate the results of combat test for testing and improving the combat effectiveness of equipment. This paper first focuses on analyzing the assessment purpose and assessment principles of air-
Wang Tao, Yuan Zehua
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Energy Saving of Air Condition using Fuzzy Control System over Zigbee Temperature Sensor [PDF]
[[abstract]]In the use of air conditioning system, way to reach a more comfortable and energy-saving effect is the goal pursued constantly by people in the 21th century. In this paper, we will build an experimental environment, and stored the temperature
[[alternative]]吳庭育, Wang, Tzu-ming
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