Journal ArticleDOI
Real-Time Condition Monitoring by Significant and Natural Frequencies Analysis of Vibration Signal with Wavelet Filter and Autocorrelation Enhancement
G. Y. Luo,D. Osypiw,Mark Irle +2 more
TLDR
In this article, a wavelet filter with very narrow frequency-band and autocorrelation enhancement is proposed as a means of monitoring the natural frequencies in real-time, which can provide realtime monitoring based on the changes of significant and natural frequencies, corresponding to the change in conditions.About:
This article is published in Journal of Sound and Vibration.The article was published on 2000-09-21. It has received 62 citations till now. The article focuses on the topics: Filter (signal processing) & Wavelet.read more
Citations
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Journal ArticleDOI
Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models
TL;DR: The experimental results indicate potential applications of LPP-based FE and Gaussian mixture model (GMM)-based negative log likelihood probability (NLLP) as effective tools for bearing performance degradation assessment.
Journal ArticleDOI
Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement
TL;DR: In this paper, a new hybrid method based on optimal Morlet wavelet filter and autocorrelation enhancement is presented to diagnose rolling element bearing faults in the early stage of bearing failures.
Journal ArticleDOI
An integrated approach to fault diagnosis of machinery using wear debris and vibration analysis
TL;DR: In this paper, the correlation of vibration analysis and wear debris analysis was investigated in an experimental test rig consisting of a worm gearbox driven by an electric motor, and the results from this paper have given more understanding on the dependent and independent roles of vibration and wear deformation analyses in machine condition monitoring and fault diagnosis.
Journal ArticleDOI
A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations
Iulian Marinescu,Dragos Axinte +1 more
TL;DR: In this article, acoustic emission (AE) has been employed for tool condition monitoring of continuous machining operations (e.g. turning, drilling), but relatively little attention has been paid to monitor interrupted processes such as milling and especially to detect the occurrence of possible surface anomalies.
Journal ArticleDOI
A study of the effect of contaminant particles in lubricants using wear debris and vibration condition monitoring techniques
TL;DR: In this article, the correlation between vibration analysis and wear debris analysis was investigated by investigating different operating conditions of an experimental rig, consisting of a worm gearbox driven by an electric motor.
References
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Book
Digital Signal Processing: A Practical Approach
TL;DR: This book covers a number of DSP techniques that are of particular relevance to industry such as adaptive filtering and multirate processing, and offers modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view.
Book
Wavelets: A Tutorial in Theory and Applications
TL;DR: A.G. Unser and A.Aldroubi as discussed by the authors constructed a block spin construction of wavelets with boundary conditions on the interval, P.A. Berger and Y.W. Wickerhauser constructed wavelet-like local bases wavelets and other bases for fast numerical linear algebra, B.C. Burrus second generation compact image coding with wavelets, J. Froment and S. Mallat acoustic signal compression with wavelet packets, M.
Journal ArticleDOI
Application of wavelets to gearbox vibration signals for fault detection
Weiji Wang,P.D. McFadden +1 more
TL;DR: In this paper, the authors used the wavelet transform to represent all possible types of transients in vibration signals generated by faults in a gearbox and demonstrated the application of the suggested wavelet by a simple computer algorithm.
Book
Vibration for engineers
TL;DR: In this paper, the authors present a survey of the history of the field of Vibration Signal Processing and Random Excitation in the context of Machinery Vibrration: Monitoring and Diagnosis.
Journal ArticleDOI
Application of orthogonal wavelets to early gear damage detection
Weiji Wang,P.D. McFadden +1 more
TL;DR: Comparison with the non-orthogonal wavelet transform for the same length of discrete data shows that the description of the signal in the 3-dimensional map of the wavelets transform is not sufficiently comprehensive due to limited scales.
Related Papers (5)
Application of wavelets to gearbox vibration signals for fault detection
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