Development of the Sensory Network for the Vibration-based Fault Detection and Isolation in the Multirotor UAV Propulsion System

Adam Bondyra, Przemysław Ga̧sior, Stanisław Gardecki, Andrzej Kasiński

2018

Abstract

In this paper, a fault detection and isolation (FDI) system for propeller impairments of the multirotor UAV is presented. The algorithm is based on the processing of signal vectors from the set of vibration sensors located close to the propulsion units. Axial and radial vibrations are measured using MEMS accelerometers that provide data for the feature extraction based on the Fast Fourier Transform (FFT). Characteristic fault signatures extracted from vibration signals are used to detect and localize damaged blades using the set of random decision trees. A method was evaluated with data gathered during numerous test flights and validated in relation to signal acquisition time and number of classifiers in the ensemble. Results show over 95% sensitivity in detecting and isolating faulty rotor states. The presented approach is an effective and low-cost solution, very versatile to implement in the arbitrary UAV.

Paper Citation

in Harvard Style

Bondyra A., Ga̧sior P., Gardecki S. and Kasiński A. (2018). Development of the Sensory Network for the Vibration-based Fault Detection and Isolation in the Multirotor UAV Propulsion System.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 102-109. DOI: 10.5220/0006846801020109

in Bibtex Style

@conference{icinco18,
author={Adam Bondyra and Przemysław Ga̧sior and Stanisław Gardecki and Andrzej Kasiński},
title={Development of the Sensory Network for the Vibration-based Fault Detection and Isolation in the Multirotor UAV Propulsion System},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006846801020109},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Development of the Sensory Network for the Vibration-based Fault Detection and Isolation in the Multirotor UAV Propulsion System
SN - 978-989-758-321-6
AU - Bondyra A.
AU - Ga̧sior P.
AU - Gardecki S.
AU - Kasiński A.
PY - 2018
SP - 102
EP - 109
DO - 10.5220/0006846801020109