Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File
Prognostic and health management technologies are increasingly important in many fields where reducing maintenance costs is critical. Non-destructive testing techniques and the Internet of Things (IoT) can help create accurate, two-sided digital models of specific monitored objects, enabling predict...
Main Authors: | Filippo Ruffa, Mariacarla Lugarà, Gaetano Fulco, Damiano Alizzio, Fabio Lo Savio, Claudio De Capua |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/9/4296 |
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