TY - JOUR

T1 - Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis

AU - Koszewnik, Andrzej

AU - Ambroziak, Leszek

AU - Ołdziej, Daniel

AU - Dzienis, Paweł

AU - Ambrożkiewicz, Bartłomiej

AU - Syta, Arkadiusz

AU - Bouattour, Ghada

AU - Kanoun, Olfa

N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. Project supported by the Ministry of Science in the frame of \u201CRegional Initiative of Excellence\" (A. Koszewnik, L. Ambroziak, D. O\u0142dziej, P. Dzienis). The research leading to these results has received funding from the commissioned task entitled \u201CVIA CARPATIA Universities of Technology Network named after the President of the Republic of Poland Lech Kaczy\u0144ski\u201D contract no. MEiN/2022/DPI/2575 action entitled \u201CIn the neighbourhood - inter-university research internships and study visits\u201D (B.Ambro\u017Ckiewicz). Publisher Copyright: © The Author(s) 2024.

PY - 2024/12

Y1 - 2024/12

N2 - This paper is focused on the diagnostics of multicopter UAV propulsion system, in which the temporary transient states occur during operation in faulty conditions (eg. not all motor phases working properly). As a diagnostic sensor, the piezo strip has been used, which is very sensitive to any vibrations of the multi-rotor frame. The paper concerns the precise location of the sensor for more effective monitoring of the propulsion system state. For this purpose, a nonlinear analysis of the vibration times series was carefully presented. The obtained non-linear time series were studied with the recurrence analysis in short time windows, which were sensitive to changes in Unmanned Aerial Vehicle motor speeds. The tests were carried out with different percentage of the pulse width modulation signal used for the operation of the brushless motor and for different locations of the piezosensor (side and top planes of the multicopter arm). In the article, it was shown that the side location of the piezosensor is more sensitive to changes in the Unmanned Aerial Vehicle propulsion system, which was studied with the Principal Component Analysis method applied for four main recurrence quantifications. The research presented proves the possibility of using nonlinear recurrence analysis for propulsion system diagnostics and helps to determine the optimal sensor location for more effective health monitoring of multicopter motor.

AB - This paper is focused on the diagnostics of multicopter UAV propulsion system, in which the temporary transient states occur during operation in faulty conditions (eg. not all motor phases working properly). As a diagnostic sensor, the piezo strip has been used, which is very sensitive to any vibrations of the multi-rotor frame. The paper concerns the precise location of the sensor for more effective monitoring of the propulsion system state. For this purpose, a nonlinear analysis of the vibration times series was carefully presented. The obtained non-linear time series were studied with the recurrence analysis in short time windows, which were sensitive to changes in Unmanned Aerial Vehicle motor speeds. The tests were carried out with different percentage of the pulse width modulation signal used for the operation of the brushless motor and for different locations of the piezosensor (side and top planes of the multicopter arm). In the article, it was shown that the side location of the piezosensor is more sensitive to changes in the Unmanned Aerial Vehicle propulsion system, which was studied with the Principal Component Analysis method applied for four main recurrence quantifications. The research presented proves the possibility of using nonlinear recurrence analysis for propulsion system diagnostics and helps to determine the optimal sensor location for more effective health monitoring of multicopter motor.

KW - Daignostic piezo sensor

KW - Nonlinear dynamics analysis

KW - Propulsion system

KW - Reccurence anslysis

KW - Unmanned aerial vehicle

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85189880026&partnerID=8YFLogxK

U2 - 10.1038/s41598-024-58606-6

DO - 10.1038/s41598-024-58606-6

M3 - Journal articles

C2 - 38594349

AN - SCOPUS:85189880026

VL - 14

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 8289

ER -