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Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management.
Cofre-Martel S, Lopez Droguett E, Modarres M. Cofre-Martel S, et al. Sensors (Basel). 2021 Oct 14;21(20):6841. doi: 10.3390/s21206841. Sensors (Basel). 2021. PMID: 34696058 Free PMC article.
Low-cost sensors, along with the evolution of the internet of things and industry 4.0, have resulted in rich databases that can be analyzed through prognostics and health management (PHM) frameworks. Several data-driven models (DDMs) have been proposed and applied for diag …
Low-cost sensors, along with the evolution of the internet of things and industry 4.0, have resulted in rich databases that can be analyzed …
An Entropy Based Bayesian Network Framework for System Health Monitoring.
Parhizkar T, Balali S, Mosleh A. Parhizkar T, et al. Entropy (Basel). 2018 May 30;20(6):416. doi: 10.3390/e20060416. Entropy (Basel). 2018. PMID: 33265506 Free PMC article.
Oil pipeline network system health monitoring is important primarily due to the high cost of failure consequences. Optimal sensor selection helps provide more effective system health information from the perspective of economic and technical constraints. ...
Oil pipeline network system health monitoring is important primarily due to the high cost of failure consequences. Optimal sensor sel …