Figure 7 - uploaded by Menyhárt József
Content may be subject to copyright.
Typical raw time domain signal of bearing having 0.6311 mm of ground fault width on the outer race (left) and its spectra (rigth).
Source publication
Diagnosis of bearings with advanced methods gained remarkable roles in the previous years. This article focuses on the manufacturing defects and methods to reveal and classify them. During manufacturing several faults could emerge because of the grinding operation, tool wear and chatter vibration. Inproper handling of the bearing parts because of t...
Context in source publication
Context 1
... and environmental vibrations could emerge despite of the vibration isolation system of the test rig. Fig. 5. presents the spectra of outer race defect of 0.6311 mm. The highest periodic transient impulse related energy content of the burst occurs at 2.09 kHz that causes 5 ms rate of periodicity which is equal to 206.18 Hz BPFO frequency (Fig. 7.). The spectrum was measured in all outer rings with different fault sizes and they showed similar manner around the peak of 2.09 kHz. Total nine different wavelets are considered for the present study. An appropriate base wavelet should extract the maximum amount of energy, with minimizing the Shannon entropy of the corresponding ...
Similar publications
This paper presents a study of the effect wavelet selection has on the density of the Jacobian matrix and nodal waveform coefficients of wavelet based periodic steady-state analysis of electrical circuits. For the presented case studies, it is shown that a simulation in the time domain produces a sparser Jacobian matrix than a simulation in the wav...
![Figure 1: The CDF [9,7] wavelet system (figure reproduced from (31)).](publication/381851215/figure/fig1/AS:11431281257470694@1719803903449/The-CDF-9-7-wavelet-system-figure-reproduced-from-31_Q320.jpg)
In this paper, we take a new approach to autoregressive image generation that is based on two main ingredients. The first is wavelet image coding, which allows to tokenize the visual details of an image from coarse to fine details by ordering the information starting with the most significant bits of the most significant wavelet coefficients. The s...
![Figure 4: Flowchart of the proposed algorithm (adapted from [37])](profile/Viatcheslav-Priimenko/publication/390371470/figure/fig2/AS:11431281340434660@1743522014558/Flowchart-of-the-proposed-algorithm-adapted-from-37_Q320.jpg)
Analyzing wavelets in the time domain provides an alternative perspective for estimating wavelet parameters and complementing frequency domain analysis. By performing spectral analysis in the time domain with different wavelets, a thorough understanding of their application in diverse geophysical data can be achieved through spectral recomposition-...
In this paper we propose a domain adaptation algorithm designed for graph domains. Given a source graph with many labeled nodes and a target graph with few or no labeled nodes, we aim to estimate the target labels by making use of the similarity between the characteristics of the variation of the label functions on the two graphs. Our assumption ab...
It has become increasingly useful to answer questions in gravitational-wave astronomy using transdimensional models, where the number of free parameters can be varied depending on the complexity required to fit the data. Given the growing interest in transdimensional inference, we introduce a new package for the Bayesian inference Library ( Bilby )...
