Explainable AI based Fault Detection and Diagnosis System for Air Handling Units

Juri Belikov, Molika Meas, Molika Meas, Ram Machlev, Ahmet Kose, Ahmet Kose, Aleksei Tepljakov, Lauri Loo, Eduard Petlenkov, Yoash Levron

2022

Abstract

Fault detection and diagnosis (FDD) methods are designed to determine whether the equipment in buildings is functioning under normal or faulty conditions and aim to identify the type or nature of a fault. Recent years have witnessed an increased interest in the application of machine learning algorithms to FDD problems. Nevertheless, a possible problem is that users may find it difficult to understand the prediction process made by a black-box system that lacks interpretability. This work presents a method that explains the outputs of an XGBoost-based classifier using an eXplainable Artificial Intelligence technique. The proposed approach is validated using real data collected from a commercial facility.

Download


Paper Citation


in Harvard Style

Belikov J., Meas M., Machlev R., Kose A., Tepljakov A., Loo L., Petlenkov E. and Levron Y. (2022). Explainable AI based Fault Detection and Diagnosis System for Air Handling Units. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-585-2, pages 271-279. DOI: 10.5220/0011350000003271


in Bibtex Style

@conference{icinco22,
author={Juri Belikov and Molika Meas and Ram Machlev and Ahmet Kose and Aleksei Tepljakov and Lauri Loo and Eduard Petlenkov and Yoash Levron},
title={Explainable AI based Fault Detection and Diagnosis System for Air Handling Units},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2022},
pages={271-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011350000003271},
isbn={978-989-758-585-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Explainable AI based Fault Detection and Diagnosis System for Air Handling Units
SN - 978-989-758-585-2
AU - Belikov J.
AU - Meas M.
AU - Machlev R.
AU - Kose A.
AU - Tepljakov A.
AU - Loo L.
AU - Petlenkov E.
AU - Levron Y.
PY - 2022
SP - 271
EP - 279
DO - 10.5220/0011350000003271