Remaining Useful Life Estimation and Anomaly Detection in Industrial Assets: AI-Driven Predictive Maintenance for Operational Efficiency in General Manufacturing

Authors

  • Henrique Sentieiro Professor of Informatics, University of Coimbra

Keywords:

remaining useful life estimation, anomaly detection, industrial assets, predictive maintenance, operational efficiency, machine learning

Abstract

Upscaling a manufacturing system consists of equipment acquisition and mounting activities that should be planned so that upgrading the capacity of the system will not disrupt the operations excessively [2].

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Published

30-06-2026

How to Cite

[1]
“Remaining Useful Life Estimation and Anomaly Detection in Industrial Assets: AI-Driven Predictive Maintenance for Operational Efficiency in General Manufacturing”, Human-Computer Interaction Persp., vol. 6, no. 1, pp. 1–15, Jun. 2026, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/815