✨I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation

📝 Summary:
This paper presents I-GLIDE, a new framework for remaining useful life RUL prediction. It uses RaPP as a health indicator, enhanced by uncertainty quantification, and 'indicator groups' to model specific degradation mechanisms from multi-sensor data. This approach improves RUL prediction accuracy...

🔹 Publication Date: Published on Nov 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21208
• PDF: https://arxiv.org/pdf/2511.21208
• Project Page: https://lucasandrei.com/pages/i_glide.html
• Github: https://github.com/LucasStill/I-GLIDE

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#RULPrediction #Prognostics #MachineLearning #SensorData #UncertaintyQuantification