Informative frequency band selection in the presence of non-Gaussian noise–a novel approach based on the conditional variance statistic with application to bearing …
In this paper a novel approach to local damage detection in the presence of non-Gaussian
impulsive noise is introduced. The proposed approach is applied to bearing damage …
impulsive noise is introduced. The proposed approach is applied to bearing damage …
How to detect the cyclostationarity in heavy-tailed distributed signals
Many real phenomena exhibit non-Gaussian behavior. The non-Gaussianity is mainly
manifested by impulsive behavior of the real signals that, typically is not visible in the …
manifested by impulsive behavior of the real signals that, typically is not visible in the …
Influence of non-Gaussian noise on the effectiveness of cyclostationary analysis–Simulations and real data analysis
Cyclostationary analysis is a useful approach in diagnostics of the machinery with rotating
components. It allows indicating the cyclic modulations in the signal via analysis of a bi …
components. It allows indicating the cyclic modulations in the signal via analysis of a bi …
Impulsive source separation using combination of Nonnegative Matrix Factorization of bi-frequency map, spatial denoising and Monte Carlo simulation
In this paper, authors present the original procedure for local damage detection in rolling
bearings based on vibration data. The aim is to obtain envelope spectrum (ES) of the signal …
bearings based on vibration data. The aim is to obtain envelope spectrum (ES) of the signal …
Impact of application of selected composite materials on the weight and vibroactivity of the upper gearbox housing
T Figlus, M Kozioł, Ł Kuczyński - Materials, 2019 - mdpi.com
In this paper, exploratory studies on the application of fibre-reinforced polymer composites in
the construction of gearbox housing elements that are used for transport means, as an …
the construction of gearbox housing elements that are used for transport means, as an …
A method for diagnosing gearboxes of means of transport using multi-stage filtering and entropy
T Figlus - Entropy, 2019 - mdpi.com
The paper presents a method of processing vibration signals which was designed to detect
damage to wheels of gearboxes for means of transport. This method uses entropy …
damage to wheels of gearboxes for means of transport. This method uses entropy …
Measures of Cross‐Dependence for Bidimensional Periodic AR (1) Model with α‐Stable Distribution
A Grzesiek, P Giri, S Sundar… - Journal of Time Series …, 2020 - Wiley Online Library
Discrete‐time models with periodic behavior are useful for the description of different
phenomenon. The most popular time series taking into consideration the periodicity of the …
phenomenon. The most popular time series taking into consideration the periodicity of the …
[PDF][PDF] Multi-fault diagnosis based on bi-frequency cyclostation-ary maps clustering
Condition monitoring of rotating machinery is a field of intensive research. One of the most
powerful diagnostic tools are based on the cyclostationary properties of the signals. In this …
powerful diagnostic tools are based on the cyclostationary properties of the signals. In this …
Cyclostationary Approach for Long Term Vibration Data Analysis
P Kruczek, N Gomolla, A Wyłomańska… - Advances in Condition …, 2019 - Springer
Condition monitoring of the rotating machines plays a key role in their maintenance. It is
challenging task, especially in case of machines operating in the varying conditions (eg …
challenging task, especially in case of machines operating in the varying conditions (eg …
Optimal Frequency Band Selection Based on the Clustering of Spatial Probability Density Function of Time-Frequency Decomposed Signal
Heavy-duty machines are often working in the harsh conditions. Components of such
machine will suffer significantly higher stress and will tend to wear off more quickly. Thus, it …
machine will suffer significantly higher stress and will tend to wear off more quickly. Thus, it …