Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 11, 2025

The increasing complexity of hydropower systems necessitates advanced control strategies to optimize performance and enhance system reliability. This paper presents a novel approach that integrates Type-2 Fuzzy Logic Controllers (T2FLC), Digital Twin technology, Neural Networks for comprehensive management systems. proposed hybrid aims improve load management, fault detection, operational efficiency. Our method employs Controller handle uncertainty imprecision in control. creates dynamic simulation model the system, allowing real-time monitoring predictive analysis. further this by providing insights based on historical data. Specifically, achieved 10.96% increase efficiency 12.64% reduction detection time compared traditional methods. contributed 18.21% improvement accuracy, while enhanced decisions, resulting 8.05% deviations. Furthermore, showed 11.48% overall reliability 13.04% maintenance costs, illustrating practical benefits integrating technologies. These results underscore effectiveness combining T2FLC, Twin, Networks, offering substantial advancement management. not only enhances but also provides robust framework future advancements intelligent strategies.

Language: Английский

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Integrating Time Series Decomposition and Multivariable Approaches for Enhanced Cooling Energy Management

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134740 - 134740

Published: Jan. 1, 2025

Language: Английский

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A hybrid two-way fluid-solid interaction method for intermittent fluid domains: A case study on peristaltic pumps

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103191 - 103191

Published: Feb. 20, 2025

Language: Английский

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Agile conceptual design and validation based on multi-source product data and large language models: a review, framework, and outlook

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: March 11, 2025

Language: Английский

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Improving Industrial Boiler Efficiency With Quantitative Feedback Theory‐Based Controllers

Advanced Control for Applications, Journal Year: 2025, Volume and Issue: 7(2)

Published: April 21, 2025

ABSTRACT The aim of this study is to improve industrial boiler efficiency with QFT‐based controllers. operational parameters boilers are frequently highly uncertain, which can have an impact on their performance and stability. PID controllers other conventional control techniques not been able effectively manage these uncertainties. proposed methodology involves identifying modeling the dynamics system, accounting for parametric uncertainties like fuel flow, air pressure changes. A QFT controller designed using frequency‐domain techniques, incorporating phase magnitude information ensure robust stability under uncertain conditions. validated through simulations real‐time testing demonstrate its effectiveness in improving reducing consumption. According simulation results, outperform terms disturbance rejection, settling times, smoother responses. then synthesized satisfy bounds, ensuring that system remains stable performs satisfactorily all specified increases overall stability, decreases consumption, improves by use QFT. successfully mitigates uncertainties, key indicators such as response time, overshoot, remain within acceptable limits. results shows implementing significantly efficiency. By addressing challenges high uncertainty, achieves enhanced performance, better handling dynamic variables flow pressure. This leads responses, reduced faster ultimately contributes consumption increased

Language: Английский

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Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 96, P. 1262 - 1280

Published: Nov. 30, 2024

Language: Английский

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A generalized grey model with symbolic regression algorithm and its application in predicting aircraft remaining useful life

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 136, P. 108986 - 108986

Published: July 18, 2024

Language: Английский

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Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102837 - 102837

Published: Oct. 1, 2024

Language: Английский

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Signatures of Compressor and Turbine Faults in Gas Turbine Performance Diagnostics: A Review

Energies, Journal Year: 2024, Volume and Issue: 17(14), P. 3409 - 3409

Published: July 11, 2024

A review of existing research on signatures gas turbine faults is presented. Faults that influence the aerothermodynamic performance compressors and turbines, such as fouling, tip clearance increase, erosion, variable geometry system malfunction, object impact damage, are covered. The faults, which necessary for establishing efficient path diagnostic methods, studied. They expressed through mass flow capacity efficiency deviations. key characteristics ratio deviations investigated in terms knowledge published research. Research based experimental studies, field data, results detailed fluid dynamic computations exist today found to provide information. It shown although may be believed have a unique correspondence type component fault, this only true when particular engine fault considered. choice methods by developers should, thus, guided considerations instead using values taken from literature without considering features problem at hand.

Language: Английский

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Improving Information Propagation of Physics-Informed Neural Networks with General Causality Principle

Published: Aug. 16, 2024

Language: Английский

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