Journal ArticleDOI
Overview of dynamic modelling and analysis of rolling element bearings with localized and distributed faults
Jing Liu,Yimin Shao +1 more
TLDR
This work presented a comprehensive review of dynamic modelling and analysis methods for predicting the vibration characteristics of REBs with and without localized and distributed faults.Abstract:
Rolling element bearings (REBs) play a most critical role in various industrial machinery. A clearly and in-depth understanding of vibration characteristics of REBs is very helpful for condition monitoring and diagnosis applications for the machinery. This work presented a comprehensive review of dynamic modelling and analysis methods for predicting the vibration characteristics of REBs with and without localized and distributed faults. Main capabilities and limitations of those methods for both the localized and distributed faults have been described. Explanations for the generations of the bearing vibrations were also reviewed. A summary of the literature was given followed by the recommendations of current and future research works. Moreover, recent challenges, directions and implications in research works on the dynamic modelling and analysis methods of the localized and distributed faults in REBs have also been conducted.read more
Citations
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Journal ArticleDOI
A dynamic modelling method of a rotor-roller bearing-housing system with a localized fault including the additional excitation zone
TL;DR: In this article, a new analytical dynamic model for a RBHS is conducted, which can consider the time dependent additional contact zone excitation caused by the fault on the raceways, deformable interface between the outer raceway and housing, lubricating oil film, and deformable rotor and housing.
Journal ArticleDOI
A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions
TL;DR: A new transfer learning method called improved joint distribution adaptation (IJDA) is proposed to align both the marginal and conditional distributions of datasets more comprehensively and is developed, which utilizes vibration signals and is mainly composed of three parts.
Journal ArticleDOI
A statistical feature investigation of the spalling propagation assessment for a ball bearing
TL;DR: In this article, a new spalling propagation assessment algorithm based on the spectrum amplitude ratio and statistical features is established to identify the spalling damage location and level of a ball bearing.
Journal ArticleDOI
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman,Muhammad Irfan,Nordin Saad,Dong Zhen,Noman Haider,Adam Glowacz,Ahmad Alshorman +6 more
TL;DR: This work presents an extensive review of CM and FDD of the IM, especially for rolling elements bearings, based on artificial intelligent (AI) methods, and highlights the advantages and performance limitations of each method.
Journal ArticleDOI
Second order multi-synchrosqueezing transform for rub-impact detection of rotor systems
TL;DR: A dynamic model of a flexible rotor system is established to simulate the rub- impact fault signal to help understand the dynamic characteristics of rub-impact fault signal, and a new time-frequency analysis algorithm termed as second order multi-synchrosqueezing transform is proposed, in which a second order two-dimensional instantaneous frequency estimation is embedded into a multi- synchrospezing framework.
References
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Book
Fatigue of materials
TL;DR: In this article, the cyclic deformation and fatigue crack initiation in polycrystalline ductile solids was studied and a total-life approach was proposed to deal with the problem.
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.
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
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
Naresh Tandon,A. Choudhury +1 more
TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
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.
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