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August 26, 2025Open Access

Hybrid Architecture to Predict the Remaining Useful Lifetime of an Industrial Machine from Its Specific Energy Consumption

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Authors

DRDiego Rodriguez-ObandoJGJavier Rosero GarcíaEREsteban Rosero

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Overview

Data-driven model predicts remaining useful lifetime of industrial machines, suggesting improved predictive maintenance.

Key Points

  • The hybrid architecture accurately predicts remaining useful lifetime based on specific energy consumption.
  • Notable outcomes include a defined threshold condition for industrial shredder spare parts predictions.
  • This approach utilizes both physics-based and data-driven models enriched by continuous data input.
  • Enhanced predictive maintenance techniques may be applicable across various industrial machines.

Cite This Study

Rodriguez-Obando et al. (2025) studied this question.

synapsesocial.com/papers/68af63ddad7bf08b1eae40a1https://doi.org/10.20944/preprints202508.1897.v1
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