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Open AccessArticle

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum

School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
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Sensors 2015, 15(1), 1182-1198; https://doi.org/10.3390/s150101182
Received: 9 October 2014 / Accepted: 5 January 2015 / Published: 9 January 2015
(This article belongs to the Section Physical Sensors)
The nonlocal means (NL-Means) method that has been widely used in the field of image processing in recent years effectively overcomes the limitations of the neighborhood filter and eliminates the artifact and edge problems caused by the traditional image denoising methods. Although NL-Means is very popular in the field of 2D image signal processing, it has not received enough attention in the field of 1D signal processing. This paper proposes a novel approach that diagnoses the fault of a rolling bearing based on fast NL-Means and the envelop spectrum. The parameters of the rolling bearing signals are optimized in the proposed method, which is the key contribution of this paper. This approach is applied to the fault diagnosis of rolling bearing, and the results have shown the efficiency at detecting roller bearing failures. View Full-Text
Keywords: fast NL-Means; envelop spectrum; fault diagnosis; rolling bearing fast NL-Means; envelop spectrum; fault diagnosis; rolling bearing
MDPI and ACS Style

Lv, Y.; Zhu, Q.; Yuan, R. Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum. Sensors 2015, 15, 1182-1198.

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