Journal ArticleDOI
Informative frequency band selection in the presence of non-Gaussian noise – a novel approach based on the conditional variance statistic with application to bearing fault diagnosis
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TLDR
A new informative frequency band selector based on the conditional variance statistic is proposed and studied in details and it is shown that the proposed method is superior to many common alternatives based e.g. on Kurtosis or Alpha selectors, especially when non-cyclic impulses dominate over the cyclic ones.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2020-11-01. It has received 46 citations till now. The article focuses on the topics: Conditional variance & Gaussian noise.read more
Citations
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Journal Article
CS2 analysis in presence of non-Gaussian background noise: Effect on traditional estimators and resilience of log-envelope indicators
Pietro Borghesani,Jérôme Antoni +1 more
TL;DR: In this paper, the effect of leptokurtic noise on squared envelope spectra and cyclic modulation spectra was investigated and quantified for the first time, by analysing three progressively harsh situations: high kurtosis, infinite Kurtosis and alpha-stable background noise (for which even first and second-order moments are not defined).
Journal ArticleDOI
Selection of the Informative Frequency Band in a Bearing Fault Diagnosis in the Presence of Non-Gaussian Noise—Comparison of Recently Developed Methods
TL;DR: The analysis will cover spectral kurtosis, kurtogram, stability index (Alpha selector), conditional variance-based selector, spectral Gini index, spectral smoothness index and infogram, and a discussion on the efficiency of each method.
Journal ArticleDOI
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
TL;DR: In this article, a tacho-less deep learning model is developed which can effectively learn, even from small data set, by adding newly developed sparsity cost in the existing cost function of CNN.
Journal ArticleDOI
Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump
Anil Kumar,Anil Kumar,Stefan T. Engelter,C.P. Gandhi,Hesheng Tang,Govind Vashishtha,Rajesh Kumar,Yuqing Zhou,Jiawei Xiang +8 more
TL;DR: In this article, a single valued neutrosophic entropy based adaptive sensitive frequency band selection for the purpose of identifying defective components in an axial pump was proposed. But the proposed methodology is applied in the following steps: first, VMD is applied for decomposing vibration signals into various frequency bands, called as modes.
Journal ArticleDOI
Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal
Paweł Zimroz,Paweł Trybała,Adam Wróblewski,Mateusz Góralczyk,Jarosław Szrek,Agnieszka Wójcik,Radoslaw Zimroz +6 more
TL;DR: The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV.
References
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Journal ArticleDOI
A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
MonographDOI
Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance
TL;DR: In this paper, the authors introduce sample path properties such as boundedness, continuity, and oscillations, as well as integrability, and absolute continuity of the path in the real line.
Journal ArticleDOI
Rolling element bearing diagnostics—A tutorial
Robert B. Randall,Jérôme Antoni +1 more
TL;DR: This tutorial is intended to guide the reader in the diagnostic analysis of acceleration signals from rolling element bearings, in particular in the presence of strong masking signals from other machine components such as gears.
Journal ArticleDOI
Artificial intelligence for fault diagnosis of rotating machinery: A review
TL;DR: This paper attempts to present a comprehensive review of AI algorithms in rotating machinery fault diagnosis, from both the views of theory background and industrial applications.
Journal ArticleDOI
Fast computation of the kurtogram for the detection of transient faults
TL;DR: This communication describes a fast algorithm for computing the kurtogram over a grid that finely samples the ( f, Δ f ) plane and the efficiency of the algorithm is illustrated on several industrial cases concerned with the detection of incipient transient faults.