2024
DOI: 10.1007/s10845-024-02398-z
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Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)

Teemu Mäkiaho,
Jouko Laitinen,
Mikael Nuutila
et al.

Abstract: In various industry sectors, predicting the real-life availability of milling applications poses a significant challenge. This challenge arises from the need to prevent inefficient blade resource utilization and the risk of machine breakdowns due to natural wear. To ensure timely and accurate adjustments to milling processes based on the machine's cutting blade condition without disrupting ongoing production, we introduce the Fused Data Prediction Model (FDPM), a novel temporal hybrid prediction model. The FDP… Show more

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