Article

Physics-Informed Machine Learning for Intelligent Gas Turbine Digital Twins: A Review

2025-09-16

Abstract excerpt

Gas turbine digital twins are increasingly critical for real-time diagnostics, predictive maintenance, and performance optimization under both baseload and flexible operations. Advances in hybrid modeling that integrate physics-based simulations with machine learning, offer tremendous opportunities to develop intelligent digital twins that are both physically consistent and computationally efficient. This review s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6365cd9a-ada3-5680-89e1-bba6b165d23a
DOI: 10.20944/preprints202509.1360.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Physics-Informed Machine Learning for Intelligent Gas Turbine Digital Twins: A ReviewDOI 10.20944/preprints202509.1360.v1Read

Extreme Learning Machine-Based Diagnostics for Component Degradation in a MicroturbineSemantic proximity Read

A Comprehensive Review of Artificial Intelligence-Driven Health Management of Electrical MachinesSemantic proximity Read

Data-Driven Prediction of LNG Tank Thermal Stratification and Boil-Off Gas Generation Using Ensemble Machine Learning with Uncertainty Quantification: An Experimental and Mechanistic StudySemantic proximity Read

Generative AI and Digital Twin Integration for Predictive Maintenance in Industry 5.0 Manufacturing Systems: A Systematic Literature Review and Future Research FrameworkSemantic proximity Read

Physics-Informed Predictive Diagnostics for Industrial Steam Turbine Generators Start-Ups: Connecting Rotor Kinematics and Energy Market EconomicsSemantic proximity Read

Artificial Intelligence and Digital Twins for Bioclimatic Building Design: Innovations in Sustainability and EfficiencySemantic proximity Read

Crested Porcupine Optimized Long Short-Term Memory based Multi Fault Diagnosis of Wind TurbinesSemantic proximity Read

A Novel Hybrid Approach to the Diagnosis of Simultaneous Imbalance and Shaft-Bow in a Jeffcott Rotor-Bearing System.Semantic proximity Read

Small-Sample Thermal Fault Diagnosis Using Knowledge Graph and Generative Adversarial NetworksSemantic proximity Read

Comprehensive Analysis of Turboprop Engine Performance Under Diverse Flight Conditions with Pressure Ratio as an Efficiency Parameter Utilizing the Digital Twin MethodologySemantic proximity Read

Universal Differential Equations for Scientific Machine LearningSemantic proximity Read

A New Era for Digital Twins: Progress and Industry AdoptionSemantic proximity Read