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P. M. Shimpi

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Open access Jul 2026

Predictive maintenance for aircraft cost reduction using machine learning

A hybrid predictive maintenance framework that combines Temporal Convolutional Networks for temporal feature extraction with Genetic Algorithms to select optimal features and Variational Autoencoders for detecting anomalies and Transformer-based models to classify failures and predict RUL is proposed.

P. M. Shimpi, Ajay Sawarkar · 0 citations

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