This is the repo for our IEEE TCST 2015 paper: AI-Based Actuator/Sensor Fault Detection With Low Computational Cost for Industrial Applications.
We present a low computational cost method for detecting actuator/sensor faults. For more details, refer to our IEEE TCST 2015 paper.
All MATLAB codes, Simulink models and datasets used in our experiments are in the repository core directory. To run a simulation, please execute the corresponding MATLAB code.
This project is licensed under the MIT License - see the LICENSE.txt file for details
Please cite the paper in your publications if it helps your research or if you use our code, models or data in your work:
@article{michail_ai-based_2015,
author={Michail, Konstantinos and Deliparaschos, Kyriakos M. and Tzafestas, Spyros G. and Zolotas, Argyrios C.},
journal={IEEE Transactions on Control Systems Technology},
title={AI-Based Actuator/Sensor Fault Detection With Low Computational Cost for Industrial Applications},
year={2015},
volume={24},
number={1},
pages={293-301},
doi={10.1109/TCST.2015.2422794}}