A supervised machine learning technique for combustion diagnosis using a vibration sensor signal

Plá, Benjamín; Morena, Joaquín De la; Bares, Pau; Aramburu, Alexandra

doi:10.1016/j.fuel.2023.127869

Fuel

2023

DOI: 10.1016/j.fuel.2023.127869

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A supervised machine learning technique for combustion diagnosis using a vibration sensor signal

Benjamín Plá

Joaquín De la Morena

Pau Bares

et al.

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Cited by 5 publications

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A supervised machine learning technique for combustion diagnosis using a vibration sensor signal

Cited by 5 publications

References 35 publications

A simultaneous non-invasive diagnosis method for flame temperature and velocity fields based on radiation self-calibration and optical flow

A simultaneous non-invasive diagnosis method for flame temperature and velocity fields based on radiation self-calibration and optical flow

Near blowout instabilities and identification based on multivariate analysis with high-speed multi-species optical diagnostic techniques

Prediction of combustion, performance, and emission parameters of ethanol powered spark ignition engine using ensemble Least Squares boosting machine learning algorithms

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