Advanced Spectral Diagnostics of Jet Engine Vibrations Using Non-Contact Laser Vibrometry and Fourier Methods

Wojciech Prokopowicz, Bartosz Ciupek (), Artur Maciąg, Tomasz Gajewski and Piotr Witold Sielicki
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Wojciech Prokopowicz: Ministry of National Defense, 00-911 Warsaw, Poland
Bartosz Ciupek: Department of Fuels and Renewable Energy, Faculty of Environmental Engineering and Energy, Institute of Thermal Energy, Poznan University of Technology, 60-965 Poznan, Poland
Artur Maciąg: Faculty of Management and Computer Modelling, Kielce University of Technology, 25-314 Kielce, Poland
Tomasz Gajewski: Faculty of Civil and Transport Engineering, Institute of Structural Analysis, Poznan University of Technology, 60-965 Poznan, Poland
Piotr Witold Sielicki: Faculty of Civil and Transport Engineering, Institute of Structural Analysis, Poznan University of Technology, 60-965 Poznan, Poland

Energies, 2025, vol. 18, issue 18, 1-22

Abstract: This study presents an advanced diagnostic methodology for assessing mechanical faults in high-performance jet engines using non-contact laser vibrometry and Fourier-based vi-bration analysis. Focusing on Pratt & Whitney F100-PW-229 engines used in F-16 aircraft, thise research identifies critical measurement locations, including the gearbox, turbine, and compressor supports. High-resolution vibration signals were collected under test bench conditions and processed using fFast Fourier tTransform (FFT) techniques to extract frequency-domain features indicative of rotor imbalances, bearing wear, and structural anomalies. Comparative analysis between nominal and degraded engines confirmed strong correlations between analytical predictions and empirical spectral patterns. Thise study introduces a signal processing framework combining time–frequency analysis with Relief-F-based feature selection, laying the groundwork for future integration with ma-chine learning algorithms. This non-intrusive, efficient diagnostic method supports early fault detection, enhances engine availability, and contributes to the development of a na-tional vibration reference database, especially vital in the absence of OEM-supplied tools.

Keywords: jet engine diagnostics; vibration analysis; Fourier transform; laser vibrometry; non-contact measurement; signal processing; bearing damage detection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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