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Sverres home Introduksjon Eksterne oppgaver: Post-sorteringssystem Vibration data acquisition and analysis for predictive maintenance Ultra low power accelerometer Secure Edge support for end-to-end encrypted sensor to cloud protocol IoT sensor data authenticity and protection ML-analysis on miniature sensors Ultra low power Analog Sensor Interfaces DNV Fuel Fighter - Datavisualisering av telemetridata Ntnu Cyborg (flere oppgaver) SW development projects: Programmeringsprosjekt (Flere oppgaver) 'Big data' analysis of flash-card learning data Procedural Generation: Game Worlds Procedural Generation: Music Programvare design av simulator Dynamic deployment system for real-time tasks Measurement-based real-time system Bibliotek for meldingssending Teoretical projects: Schedulability proof for message passing systems Dynamic deployment system for real-time tasks Bruk av online eksekveringstidsestimater Real-time systems not based on timing requirements Morsomme sensorer og applikasjoner: Døvehørsel Blindesyn |
Vibration data acquisition and analysis for predictive maintenanceNew ultra low power accelerometers have become available in recent years. These devices can be used to measure vibration on various types of equipment, in order to predict mechanical breakdown at an earlier stage than what would be possible using other methods such as temperature sensing. Methods to capture and analyze vibration patterns with minimal energy consumption should be investigated. A demonstrator should be built based on an evaluation board of a suitable accelerometer. The assignment will be to:
The assignment is well suited for continuation into a Master Project. Feel free to make direct contact with the Disruptive Technologies external supervisor under it this sounds interesting. Supervisor: Jonathan Reichelt Gjertsen, Disruptive Technologies jonathan.gjertsen@disruptive-technologies.com |