Paper
1 October 2018 Vibration-based diagnostics of existing defects in hydraulic units
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108086D (2018) https://doi.org/10.1117/12.2501623
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
Abstract
Proposed in the paper are the new algorithms for vibration-based diagnostics of existing defects in hydraulic units. They are based on an artificial neural-like network, which implements spectral analysis of vibroacoustic signals using threedimensional amplitude-frequency-temporal spectra of these signals, such spectra being obtained using discreet wavelet transformation.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vasyl V. Kukharczuk, Samoil Sh. Kazyv, Igor A. Zhuk, Victor V. Bilichenko, Sergey A. Bykovsky, Tomasz Zyska, and Ayaulym Oralbekova "Vibration-based diagnostics of existing defects in hydraulic units", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108086D (1 October 2018); https://doi.org/10.1117/12.2501623
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KEYWORDS
Neurons

Wavelets

Diagnostics

Electromagnetism

Photovoltaics

Sensors

Electrodynamics

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