Influence of Operationally Consumed Propellers on Multirotor UAVs Airworthiness: Finite Element and Experimental Approach

Al-Haddad, Luttfi A.; Jaber, Alaa Abdulhady

doi:10.1109/jsen.2023.3267043

Cited by 18 publications

(3 citation statements)

References 29 publications

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“…Consequently, the application of Kalman filtering in UAV fault diagnosis has become a crucial aspect of assuring the sustained success and efficacy of UAV missions in a variety of industries [34]. In [35], In terms of multiresolution analysis, FFT (Fast Fourier Transform) [36,37] signal processing has proved to be a valuable technique for UAV fault diagnosis [38]. In this context, FFT is used to analyze vibration signals recorded during operation from various UAV components.…”

Section: Fault Diagnosis Strategies For Predictive Maintenance Ismentioning

confidence: 99%

“…In engineering and applied sciences, Finite Element Analysis (FEA) is of paramount importance, serving as a potent computational tool for simulating and analyzing complex structures and systems [66][67][68]. FEA has made a great contribution to UAV analysis due to their capability of structural analyzing, design, and topology optimization [38,69,70]. This study employed FEA to determine the natural frequency of which the optimal sampling frequency for vibration signal acquisition will depend upon.…”

Section: Finite Element Analysis Approachmentioning

confidence: 99%

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

Al-Haddad,

Giernacki,

Shandookh

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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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 the six-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.

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Section: Fault Diagnosis Strategies For Predictive Maintenance Ismentioning

confidence: 99%

Section: Finite Element Analysis Approachmentioning

confidence: 99%

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

Al-Haddad,

Giernacki,

Shandookh

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…The methodology of Finite element analysis (FEA) is commonly recognized as the most highly effective tool for the analysis and optimization of variant mechanical engineering procedures [8]- [11]. The helical-geared usage in heavy machinery is considered to be part of these mechanical systems.…”

Section: Introductionmentioning

confidence: 99%

Towards Condition Monitoring: Fabrication and Finite Element Analysis of A Helical Gear Transmission Rig for Fault Simulation

2024

jjmie

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Mechanical systems are mainly considered in heavy transmissions, and helix-angled gears are being mostly used in such fields of interest. As these mechanical components operate, they are heavily subjected to potential faults of operation. To avoid experimental faults, simulation-based analysis and test apparatus are now used for diagnosing purposes and hence, improving the dependability while enhancing their performance. For that, this paper presents an integrated approach of simulation analysis and the fabrication of a test rig specifically designed for fault inducing and seeding in helical gear transmissions. Computer-aided design and engineering techniques are both used to conduct vibration-based analysis. Six mode shapes are called out for in the modal simulation workbench where they were discussed accordingly. Bearing-mounted accelerometers were used to capture vibration signals of three operating axis in order to study the potentiality of utilizing them for condition monitoring. The current approach has demonstrated advancements in fault diagnosis methodologies and provided valuable insights in enhancing reliability and dependability of such applications.

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Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

Al-Haddad,

Jaber,

Hamzah

et al. 2023

Electr Eng

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Influence of Operationally Consumed Propellers on Multirotor UAVs Airworthiness: Finite Element and Experimental Approach

Cited by 18 publications

References 29 publications

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

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

Towards Condition Monitoring: Fabrication and Finite Element Analysis of A Helical Gear Transmission Rig for Fault Simulation

Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

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