Acoustic emission signal processing for rolling bearing running state assessment using compressive sensing

Volume: 91, Pages: 395 - 406
Published: Jul 1, 2017
Abstract
In the signal processing domain, there has been growing interest in using acoustic emission (AE) signals for the fault diagnosis and condition assessment instead of vibration signals, which has been advocated as an effective technique for identifying fracture, crack or damage. The AE signal has high frequencies up to several MHz which can avoid some signals interference, such as the parts of bearing (i.e. rolling elements, ring and so on) and...
Paper Details
Title
Acoustic emission signal processing for rolling bearing running state assessment using compressive sensing
Published Date
Jul 1, 2017
Volume
91
Pages
395 - 406
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