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Predictive maintenance for offshore wind turbines through deep learning and online clustering of unsupervised subsystems: a real-world implementation
Enterprises in increasing numbers allocate substantial expenses to offshore wind energy development as a pivotal component of the global energy...
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Deep reinforcement learning-based drift parking control of automated vehicles
Drift parking usually requires precise control of a vehicle by a professional driver, which can reflect the performance of the vehicle under critical...
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Boundary Control Method for Urban Single Congestion Region
With the rapid development of cities, traffic congestion is more likely to evolve into regional forms of congestion. To alleviate regional traffic...
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Predictive Maintenance of Bearing Machinery Using MATLAB
In recent years, health monitoring of machines has become increasingly important in the manufacturing and maintenance industry. Unexpected failures...
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Predictive Analytics for Advance Healthcare Cardio Systems
This research work aims in finding out the lifestyle factors that affect the heart disease and identifies the most efficient classification...
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Adaptive Neural Network Control of Space-Mission Universal Mechatronic Module
AbstractA review of methods for adaptive neural network control of actuators based on a stepper motor is presented. A model of a universal...
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Deep learning-based smith predictor design for a remote gras** control system
In this study, a robotic hand control system was designed based on data gloves, aiming to provide more intuitive control and improved operational...
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Impact of bumpers position variation on heat exchanger performance: an experimental and predictive analysis using an artificial neural network
Experimentally and numerically, the thermal performance enhancement of counterflow twin-pipe heat exchanger with bumpers position variation was...
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Predictive Modelling of Cutting Force in the Machining of Duplex Stainless Steels Using Artificial Neural Network
Artificial Neural Network (ANN) method is used in this research study to develop a predictive model for main cutting force, during the turning of...
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A High-Fidelity and Computationally Efficient Model for an Electrically Excited Synchronous Generator Based on Current–Flux Linkage Neural Networks
Driven by the trend of multielectric aircraft, the digitization of aircraft power systems is crucial for their effective condition monitoring and...
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Numerical analysis of the performance of a three-bladed vertical-axis turbine with active pitch control using a coupled unsteady Reynolds-averaged Navier-Stokes and actuator line model
In this paper, we present a numerical model of a vertical-axis turbine (VAT) with active-pitch torque control. The model is based upon the Wind and...
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Learning-Based Cooperative Control Method of High-Speed Aircraft Swarm
As an emerging technology, the collaborative control of aircraft swarms can effectively improve the capabilities of aircraft swarms in target search,...
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Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support
The production requirements of multi-variety and high-quality products pose significant challenges for implementing intelligent production lines that...
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Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model
Interface bonding between asphalt layers plays a vital role in ensuring the proper functionality of pavement structures. Interlayer Shear Strength...
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Design of Vehicle Motion Control Service System Based on Dynamic State Estimation
In the automatic driving system, the motion control system is an important part, which directly determines whether the vehicle can accurately follow...
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Predictive Modeling of Modified Asphalt Mixture Rutting Potentials: Machine Learning Approach
The addition of polymer modifiers to bitumen has been discovered to effectively improve the rutting performance of asphalt mixtures. However, the...
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Tracking Control Based on GPS Intelligent Buoy System for an Autonomous Underwater Vehicles Under Measurement Noise and Measurement Delay
This paper deals with the real-time tracking control problem for an autonomous underwater vehicle based on an acoustic-based positioning method,...
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Learning-Based vs Model-Free Adaptive Control of a MAV Under Wind Gust
Navigation problems under unknown varying conditions are among the most important and well-studied problems in the control field. Classic model-based...
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Path Tracking Control for Autonomous Truck with Dual Modular Chassis
This study focuses on enhancing the agility and path tracking capabilities of autonomous trucks equipped with dual 4WIS-4WID modular chassis. To...
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An intelligent energy management and traffic predictive model for autonomous vehicle systems
In recent times, the utilization of autonomous vehicles (AVs) has been significantly increased over the globe. It is because of the tremendous rise...
