3D convolutional selective autoencoder for instability detection in combustion systems

highlights•A novel semi-supervised deep learning architecture for early detection of combustion instability.•Capturing transition from a stable to an unstable regime using spatiotemporal data (snippets of flame videos).•Demonstration of excellent generalization capability for different operating con...

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