# Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems

## TL;DR

This paper introduces a real-time capable, robust fault diagnosis method for self-sensing systems, utilizing optimal input design to enhance fault detection accuracy despite system uncertainties.

## Contribution

It develops a novel, robust input design and fault diagnosis methodology suitable for real-time applications, addressing system uncertainties effectively.

## Key findings

- Demonstrated robustness of the method through numerical simulations.
- Achieved optimal fault diagnosis performance under system uncertainties.
- Validated real-time applicability of the proposed approach.

## 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.