Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump
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TLDR
In this article, a variational mode decomposition (VM decomposition) was applied to detect different location fault features for rolling bearings fault diagnosis via modeling simulation vibration signal and practical vibration signal.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2017-09-01 and is currently open access. It has received 278 citations till now. The article focuses on the topics: Bearing (mechanical) & Fault model.read more
Citations
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A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery
TL;DR: In this paper, the authors proposed a parameter-adaptive variational mode decomposition (VMD) method based on grasshopper optimization algorithm (GOA) to analyze vibration signals from rotating machinery.
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Adaptive variational mode decomposition method for signal processing based on mode characteristic
TL;DR: The proposed Adaptive Variational Mode Decomposition (AVMD) method has strong adaptability and is robust to noise and can determine the mode number appropriately without modulation even when the signal frequencies are relatively close.
Journal ArticleDOI
Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition.
Yonghao Miao,Ming Zhao,Jing Lin +2 more
TL;DR: The proposed IPAVMD outperforms the traditional parameter-adaptive VMD and further expands the application to compound-fault diagnosis and improves the optimization objective function of grasshopper optimization algorithm based on the ensemble kurtosis.
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Initial center frequency-guided VMD for fault diagnosis of rotating machines
TL;DR: The variation features of the center frequency (CF) of extracted modes are investigated with different ICFs, in which the converging U-shape phenomenon is found and a novel ICF-guided VMD method is proposed to extract accurately the weak damage features of rotating machines.
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A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines
TL;DR: A coarse-to-fine decomposing strategy is proposed for weak fault detection of rotating machines and can well-detect the weak repetitive transients in the signals with heavy noise and overcome the drawbacks of the original VMD.
References
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Spectral Analysis and Time Series
TL;DR: In this article, the authors introduce the concept of Stationary Random Processes and Spectral Analysis in the Time Domain and Frequency Domain, and present an analysis of Processes with Mixed Spectra.
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Variational Mode Decomposition
TL;DR: This work proposes an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently and is a generalization of the classic Wiener filter into multiple, adaptive bands.
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Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals
TL;DR: The concept of instantaneous frequency (IF), its definitions, and the correspondence between the various mathematical models formulated for representation of IF are discussed in this paper, and the extent to which the IF corresponds to the intuitive expectation of reality is also considered.
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Model for the vibration produced by a single point defect in a rolling element bearing
P.D. McFadden,J D Smith +1 more
TL;DR: In this paper, a model was developed to describe the vibration produced by a single point defect on the inner race of a rolling element bearing under constant radial load, incorporating the effects of bearing geometry, shaft speed, bearing load distribution, transfer function and the exponential decay of vibration.
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Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review
P.D. McFadden,J D Smith +1 more
TL;DR: In this article, the authors reviewed the use of high-frequency resonance for vibration monitoring of rolling element bearings by the highfrequency resonance technique and showed that the procedures for obtaining the spectrum of the envelope signal are well established, but that there is an incomplete understanding of the factors which control the appearance of this spectrum.
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