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Author/Affiliation: Srishti SehgalOpen AccessArticle
10 Pages, 2,535 KB 
Low-Dimensional Spaces for Relating Sensor Signals with Internal Data Structure in a Propulsion System
Abstract:
Advances in technology have enabled the installation of an increasing number of sensors in various mechanical systems allowing for more detailed equipment health monitoring capabilities. It is hoped the sensor data will enable development of predictive tools to prevent system failures. This work describes continued analysis of sensor data surrounding a seizure of a turbocharger…
Read More(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Artificial Intelligence in Computer Science (CAI))