Model-Based Fault Diagnosis Algorithms for Robotic Systems-Reference-Cited by-同舟云学术

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Model-Based Fault Diagnosis Algorithms for Robotic Systems

Published:2023 Issue: Volume:11 Page:2250-2258
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hasan Agus¹^ORCID,Tahavori Maryamsadat²^ORCID,Midtiby Henrik Skov³^ORCID

Affiliation:

1. Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Ålesund, Norway

2. Department of Engineering Technology and Didactics, Technical University of Denmark, Ballerup, Denmark

3. Mærsk McKinney Møller Institute, University of Southern Denmark, Odense, Denmark

Funder

Equinor ASA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10004925.pdf?arnumber=10004925

Reference31 articles.

1. eXogenous Kalman Filter for State Estimation in Autonomous Ball Balancing Robots

2. Adaptive eXogenous Kalman Filter for Actuator Fault Diagnosis in Robotics and Autonomous Systems

3. A New Approach to Linear Filtering and Prediction Problems

4. Finite-Control-Set MPC for Open-Phase Fault-Tolerant Control of PM Synchronous Motor Drives

5. Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation

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