4 citations · 14 across the 10 of their papers we have counts for
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stat.ML2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the…
stat.ML2021
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community. However, there…