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 Wavelet de-noising applied to vibrational envelope analysis methods.


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Type of Resource: text

Genre: Electronic Thesis or Dissertation

Issuance: single unit

Date Created: Spring 2014

Date Issued: 2014

Publisher: Florida Atlantic University

Physical Form: Online Resource

Extent: 71 p.

Language(s): English

Summary: In the field of machine prognostics, vibration analysis is a proven method fordetecting and diagnosing bearing faults in rotating machines. One popular methodfor interpreting vibration signals is envelope demodulation, which allows a technicianto clearly identify an impulsive fault source and its severity. However incipient faults -faults in early stages - are masked by in-band noise, which can make the associated impulses difficult to detect and interpret. In this thesis, Wavelet De-Noising (WDN) is implemented after envelope-demodulation to improve accuracy of bearing fault diagnostics. This contrasts the typical approach of de-noising as a preprocessing step.When manually measuring time-domain impulse amplitudes, the algorithmshows varying improvements in Signal-to-Noise Ratio (SNR) relative to backgroundvibrational noise. A frequency-domain measure of SNR agrees with this result.

Identifier: FA00004080 (IID)

Note(s): Includes bibliography.Thesis (M.S.)--Florida Atlantic University, 2013.

Subject(s): Fluid dynamicsSignal processingStructural dynamicsWavelet (Mathematics)

Held by: Florida Atlantic University Digital Library

Sublocation: Boca Raton, Fla.

Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00004080

Restrictions on Access: All rights reserved by the source institution

Owner Institution: FAU



Autor: Bertot, Edward Max, author Khoshgoftaar, Taghi Dr., Thesis advisor Beaujean, Pierre-Philippe Dr., Thesis advisor College of Engin

Fuente: http://fau.digital.flvc.org/islandora/object/fau%3A13415



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