Vibration Signal Processing for Multirotor UAVs Fault Diagnosis: Filtering or Multiresolution Analysis

• Autorzy: Al-Haddad Luttfi A. , Giernacki Wojciech , Shandookh Ahmed A. , Jaber Alaa Abdulhady , Puchalski Radosław

Identyfikatory

DOI

10.17531/ein/176318

• Języki publikacji: EN

Abstrakty

EN

In the modern technological advancements, Unmanned Aerial Vehicles (UAVs) have emerged across diverse applications. As UAVs evolve, fault diagnosis witnessed great advancements, with signal processing methodologies taking center stage. This paper presents an assessment of vibration-based signal processing techniques, focusing on Kalman filtering (KF) and Discrete Wavelet Transform (DWT) multiresolution analysis. Experimental evaluation of healthy and faulty states in a quadcopter, using an accelerometer, are presented. The determination of the 1024 Hz sampling frequency is facilitated through finite element analysis of 20 mode shapes. KF exhibits commendable performance, successfully segregating faulty and healthy peaks within an acceptable range. While thesix-level multi-decomposition unveils good explanations for fluctuations eluding KF. Ultimately, both KF and DWT showcase high-performance capabilities in fault diagnosis. However, DWT shows superior assessment precision, uncovering intricate details and facilitating a holistic understanding of fault-related characteristics.

Słowa kluczowe

EN

signal processing; fast fourier transform; discrete wavelet transform; kalman filter; UAVs

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2024
• Tom: Vol. 26, no. 1
• Strony: art. no. 176318
• Opis fizyczny: Bibliogr. 75 poz., rys., tab., wykr.

Twórcy

autor

Al-Haddad Luttfi A.

• Training and Workshops Center, University Of Technology-Iraq, Iraq

• https://orcid.org/0000-0001-7832-1048

autor

Giernacki Wojciech

• Faculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, Poland

• https://orcid.org/0000-0003-1747-4010

autor

Shandookh Ahmed A.

• Mechanical Engineering Department, University of Technology-Iraq, Iraq

• https://orcid.org/0000-0003-3729-704X

autor

Jaber Alaa Abdulhady

• Mechanical Engineering Department, University of Technology-Iraq, Iraq

• https://orcid.org/0000-0001-5709-195X

autor

Puchalski Radosław

• Faculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, Poland

• https://orcid.org/0000-0002-5535-4442

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