A novel methodology for online detection of bearing health status for naturally progressing defect
TL;DR: In this paper, a methodology for the online detection of health status of rolling element bearing into various damage stages for naturally progressing defect is proposed for online monitoring and damage stage detection, which is successfully verified on the vibration data acquired from the naturally induced and progressed defect experiments.
About: This article is published in Journal of Sound and Vibration.The article was published on 2014-10-13. It has received 51 citations till now. The article focuses on the topics: Rolling-element bearing & Mahalanobis distance.
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TL;DR: A review on machinery prognostics following its whole program, i.e., from data acquisition to RUL prediction, which provides discussions on current situation, upcoming challenges as well as possible future trends for researchers in this field.
1,116 citations
Cites methods from "A novel methodology for online dete..."
...[157] used an algorithm based on Chebyshev inequality to determine an alarm threshold and identify time of fault occurrence once more than five consecutive data points exceed the threshold....
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TL;DR: In this article, the authors provide a review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis.
Abstract: Since the early 1980s, wind power technology has experienced an immense growth with respect to both the turbine size and market share. As the demand for large-scale wind turbines and lor operation & maintenance cost continues to raise, the interest on condition monitoring system has increased rapidly. The main components of wind turbines are the focus of all CMS since they frequently cause high repair costs and equipment downtime. However, vast quantities of their failures are caused due to a bearing failure. Therefore, bearing condition monitoring becomes crucial. This paper aims at providing a state-of-the-art review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis. Furthermore, this paper will present a literature review and discuss several technical, financial and operational challenges from the purchase of the CMS to the wind farm monitoring stage.
248 citations
Cites methods from "A novel methodology for online dete..."
...Chebyshev's inequality was applied to the Mahalanobis Distance for online monitoring and damage stage detection [95]....
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...Shakya et al. (2014) proposed a methodology for online monitoring of rolling element bearing....
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TL;DR: In this article, an ensemble empirical mode decomposition (EEMD) and Jensen Renyi divergence (JRD) based methodology is proposed for the degradation assessment of rolling element bearings using vibration data.
98 citations
Cites methods from "A novel methodology for online dete..."
...[19] applied Chebyshev׳s inequality to the Mahalanobis distance for online monitoring and damage stage detection for naturally progressing defect....
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TL;DR: The proposed methodology reveals better generalization capability compared to previous works and it is validated by an online bearing fault diagnosis and the proposed strategy can be applied for the decision making of several assets.
80 citations
Cites background from "A novel methodology for online dete..."
...In (Shakya et al., 2014), various damage stages for naturally progressing REB defect were given online....
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...In fact, online detection of REB degradation for naturally progressing defect in damage stages is not available in the literature (Shakya et al., 2014)....
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TL;DR: In this article, the adaptive resonance theory 2 (ART2) is proposed for an unsupervised classification of the extracted features for wind turbine high-speed bearing monitoring, which reveals a better generalization capability compared to previous works even with noisy measurements.
77 citations
References
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TL;DR: In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.
Abstract: A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...
18,956 citations
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.
1,858 citations
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.
1,229 citations
01 Sep 2005
TL;DR: The principle and insufficiency of Hilbert-Huang transform is introduced, several improved strategies are put forward, and some simulations are proceeds some simulations.
Abstract: The Hilbert-Huang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the Wigner-Ville Distribution, HHT is truly a time-frequency analysis, but it does not require an a priori functional basis and, therefore, the convolution computation of frequency. The method provides a magnifying glass to examine the data, and also offers a different view of data from nonlinear processes, with the results no longer shackled by spurious harmonics — the artifacts of imposing a linearity property on a nonlinear system or of limiting by the uncertainty principle, and a consequence of Fourier transform pairs in data analysis. This is the first HHT book containing papers covering a wide variety of interests. The chapters are divided into mathematical aspects and applications, with the applications further grouped into geophysics, structural safety and visualization.
847 citations