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Journal ArticleDOI

A new acoustic emission source locating system for the study of rolling contact fatigue

Takeo Yoshioka, +1 more
- 15 Sep 1982 - 
- Vol. 81, Iss: 1, pp 183-186
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This article is published in Wear.The article was published on 1982-09-15. It has received 60 citations till now. The article focuses on the topics: Acoustic emission.

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Citations
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Journal ArticleDOI

A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings

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

A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size

TL;DR: In this paper, an experimental investigation reported in this paper was centred on the application of the acoustic emission (AE) technique for identifying the presence and size of a defect on a radially loaded bearing.
Journal ArticleDOI

Development of Acoustic Emission Technology for Condition Monitoring andDiagnosis of Rotating Machines; Bearings, Pumps, Gearboxes, Engines and RotatingStructures.

TL;DR: A comprehensive and critical review of the application of AET to condition monitoring and diagnostics of rotating machinery is presented in this article, where the authors present a detailed analysis of the AET application to rotating machinery.
Journal ArticleDOI

Deep Learning Based Approach for Bearing Fault Diagnosis

TL;DR: In this paper, a deep learning-based approach for bearing fault diagnosis is presented, which preprocesses sensor signals using short-time Fourier transform (STFT) and uses an optimized deep learning structure, large memory storage retrieval (LAMSTAR) neural network, is built to diagnose the bearing faults.
Journal ArticleDOI

Application of acoustic emission technique for the detection of defects in rolling element bearings

TL;DR: In this article, the usefulness of acoustic emission (AE) measurements for the detection of defects in roller bearings has been investigated, and the results showed that ringdown counts of AE signal is a very good parameter for detecting defects both in the inner race and roller of the bearings tested.
References
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Journal ArticleDOI

The application of vibration signature analysis and acoustic emission source location to on-line condition monitoring of anti-friction bearings

TL;DR: In this article, the authors describe the detection of incipient failure of rolling element bearings by kurtosis and the location of fatigue cracks in slowly rotating bearings by acoustic emission, as well as the location and timing of the fatigue cracks.
Journal ArticleDOI

Detection of Damage in Assembled Rolling Element Bearings

TL;DR: In this paper, a nondestructive method, capable of detecting localized surface damage, such as small spalls, nicks, dents and scratches, on the balls (rollers) and races of assembled rolling-element bearings, is discussed.
Journal ArticleDOI

Exoelectron Emission for the Study of Surface Fatigue Wear

TL;DR: In this article, an exoelectron emission from steel bearing balls which have been run in a Barwell four-ball surface fatigue wear tester has been investigated and the results indicate that the fatigue failure occurs at one of several sites which have given enhanced electron emission.
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