Digital Twin-Driven Fault Diagnosis for Autonomous Surface Vehicles

Digital Twin-Driven Fault Diagnosis for Autonomous Surface Vehicles

This paper presents a digital twin-driven fault diagnosis approach based on a graphical model and an adaptive extended Kalman filter algorithm for autonomous surface vehicles. In contrast with the traditional adaptive Kalman filter algorithm, where the fault parameters are treated as extended state...

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Bibliographic Details
Main Authors: Ravitej Bhagavathi, D. Kwame Minde Kufoalor, Agus Hasan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Digital twin
fault diagnosis
autonomous systems
Online Access:https://ieeexplore.ieee.org/document/10105964/

Internet

https://ieeexplore.ieee.org/document/10105964/

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