Experiment-in-the-Loop system for fast and effective tuning of active vibration controllers

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 109753 - 109753

Published: Sept. 1, 2024

Language: Английский

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Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures

Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 990 - 990

Published: Feb. 7, 2025

An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU. This enables sequential data processing while ensuring high accuracy anomaly detection. Using recurrent layers (LSTM/GRU) is critical dependencies among time series analysis identification, facilitating key information retention from previous states. Modules such as SensorFailClean SensorFailNorm implement adaptive discretization quantisation techniques, enhancing the input quality contributing to more accurate predictions. The demonstrated detection at 99.327% after 200 training epochs, with reduction loss 2.5 0.5%, indicating stability processing. A algorithm incorporating temporal regularization combined optimization method (SGD RMSProp) accelerated convergence, reducing 4 min 13 s achieving an of 0.993. Comparisons alternative methods indicate superior performance proposed approach across metrics, including 0.993 compared 0.981 0.982. Computational experiments confirmed presence highly correlated sensor method's effectiveness fault detection, highlighting system's capability minimize omissions.

Language: Английский

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Au octahedrons monolayer film SERS substrate coupled with a hybrid metaheuristic algorithm-optimized ELM model: An analytical strategy for rapid and label-free detection of zearalenone in corn oil

Food Chemistry, Journal Year: 2025, Volume and Issue: 476, P. 143516 - 143516

Published: Feb. 20, 2025

Language: Английский

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Active Vibration Control of Cantilever Structures by Integrating the Closed Loop Control Action into Transient Solution of Finite Element Model and an Application to Aircraft Wing

Machines, Journal Year: 2025, Volume and Issue: 13(5), P. 379 - 379

Published: April 30, 2025

In this study, the active vibration control (AVC) of a cantilever beam with an end mass is considered first and studied experimentally through simulation. The Laplace transform method, Newmark ANSYS are used for simulations. An impulse force applied to velocity actuation base assumed be disturbance controlling input, respectively. displacement taken as feedback signal in Four strain gauges located near bottom point, connected Wheatstone bridge, output voltage load-cell amplifier (LCA) experiments. Strain experiments because it easy implement, cost-effective, can applications. Experimental signals obtained from top compared LCA observed that they approximately linearly dependent. Velocity input generated servo motor-driven linear actuator closed loop achieved by personal computer Adlink-9222 PCI DAQ card C program integration action into transient solution method implemented reference value zero control. instantaneous at time step subtracted find error multiplied gain calculate signal. simulation results good agreement analytical method. Simulation also acceptable experimental explaining behavior success AVC depending on gain, Kp. After verifying solutions, procedure aircraft wing real complex structure. wing, length 810.8 mm, 13 ribs 300 NACA 4412 airfoil, study. It engineering structures simulated integrating ANSYS.

Language: Английский

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Aerospace Airflow and Transient Elastodynamic Responses of the Smart Composite Structures: Verification of the results via a machine learning algorithm

Aerospace Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 110293 - 110293

Published: May 1, 2025

Language: Английский

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Optimization flutter response of laminated smart nanocomposite truncated conical shell under supersonic aerodynamic pressure using hybrid IGWO-DQHFEM

Aerospace Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 109766 - 109766

Published: Nov. 1, 2024

Language: Английский

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