Results 11 to 20 of about 77,768 (302)
Comprehensive analysis of aero-engine vibration signals based on wavelet transform method
EURASIP Journal on Advances in Signal Processing, 2023 A single type of signal processing means that it is difficult to analyze vibration signals comprehensively and effectively. By comprehensively using wavelet analysis techniques, a comprehensive and in-depth study of aero-engine vibration conditions is ...
Mai Xin +6 more
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Condition monitoring of valve clearance fault on a small four strokes petrol engine using vibration signals [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2010 This paper studies condition monitoring technique of a small four strokes, single cylinder petrol engine using vibrationsignal analysis based on time domain, crank angle domain, and signal energy.
Songpon Klinchaeam +1 more
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Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals. [PDF]
Sensors (Basel), 2023 Fast and accurate fault diagnosis is crucial to transformer safety and cost-effectiveness. Recently, vibration analysis for transformer fault diagnosis is attracting increasing attention due to its ease of implementation and low cost, while the complex ...
Li C +5 more
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Deep Learning Approach for Vibration Signals Applications. [PDF]
Sensors (Basel), 2021 This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection.
Chen HY, Lee CH.
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Shock and Vibration, 2021 The blasting vibration signals show obvious zoning propagation characteristics. Because of not considering the specific influences of geological and topographical conditions, the existing zoning methods of blasting vibration cannot fully describe the ...
Haixia Wei +5 more
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A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction
Shock and Vibration, 2021 Aiming at the problem that real engineering vibration signals are interfered by strong noise, this paper proposes a method combining single channel-independent component analysis (SCICA) and fractal analysis (FD) to reduce the effect of noise on the time-
Quanbo Lu, Mei Li
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Frontiers in Earth Science, 2022 The analysis of time-frequency variation and energy refinement characteristics of blasting vibration signals has contributed to understanding the propagation law of blasting vibration wave and reducing the possible losses. Combined with the measured data
Liang Zhang +3 more
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VIBRATION ASSESSMENT OF TRACTOR OPERATOR BASED ON VIBRATION SIGNALS
INMATEH Agricultural Engineering, 2023 Operator fatigue during work with agricultural machinery is a significant factor contributing to fatal accidents in Greece. Workers operating agricultural machinery, especially those working with tractors and off-road machines, constitute one of the most hazard-prone groups due to mechanical vibrations transmitted from the ground to the operators ...
Christos I. DIMITRIADIS +4 more
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Detection of defects in a bearing by analysis of vibration signals
, 2023 This work presents the analysis of vibration signals by an approach consists of several mathematical tools more elaborate such as the Hilbert transform, kurtogram, which allows the detection of vibration defects in a simple and accurate way. The steps or
Karim Bouaouiche +5 more
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Gong-kuang zidonghua, 2022 The fault diagnosis method of planetary gearbox based on machine learning relies on the artificial selection of the eigenvectors. The quality of eigenvectors selection largely determines the accuracy of the diagnosis method.
SHI Zhiyuan, TENG Hu, MA Chi
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