Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems
Systems and Control
2020-01-16 v1
Abstract
This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.
Cite
@article{arxiv.1703.07135,
title = {Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems},
author = {Dhruv Khandelwal and Siep Weiland and Amol Khalate},
journal= {arXiv preprint arXiv:1703.07135},
year = {2020}
}
Comments
Accepted in IFAC World Congress 2017