Small jet engine reservoir computing digital twin

C. J. Wright, N. Biederman, B. Gyovai, D. J. Gauthier, J. P. Wilhelm
12/15/2023
cs.LGnlin.AO

No confident code implementation found for this paper.

Abstract

Machine learning was applied to create a digital twin of a numerical simulation of a single-scroll jet engine. A similar model based on the insights gained from this numerical study was used to create a digital twin of a JetCat P100-RX jet engine using only experimental data. Engine data was collected from a custom sensor system measuring parameters such as thrust, exhaust gas temperature, shaft speed, weather conditions, etc. Data was gathered while the engine was placed under different test conditions by controlling shaft speed. The machine learning model was generated (trained) using a next-generation reservoir computer, a best-in-class machine learning algorithm for dynamical systems. Once the model was trained, it was used to predict behavior it had never seen with an accuracy of better than 1.8% when compared to the testing data.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Targeted Digital Twin via Flow Map Learning and Its Application to Fluid Dynamics

81% match2025

Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry

81% match2023

A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions

81% match2025

Digital twins of nonlinear dynamical systems: A perspective

80% match2023

Through-life Monitoring of Resource-constrained Systems and Fleets

78% match2023

The transformative potential of machine learning for experiments in fluid mechanics

78% match2023

Cite this paper

@article{wright2023small,
  title  = {Small jet engine reservoir computing digital twin},
  author = {C. J. Wright and N. Biederman and B. Gyovai and D. J. Gauthier and J. P. Wilhelm},
  year   = {2023},
  eprint = {2312.09978},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.09978v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2312.09978.svg)](https://codeofpaper.com/paper/2312.09978)

Discussion