Eulerian laser Doppler vibrometry : online blade damage identification on a multi-blade test rotor
| dc.contributor.author | Oberholster, Abraham Johannes (Abrie) | |
| dc.contributor.author | Heyns, P.S. (Philippus Stephanus) | |
| dc.contributor.email | stephan.heyns@up.ac.za | en_ZA |
| dc.date.accessioned | 2016-12-05T08:58:05Z | |
| dc.date.available | 2016-12-05T08:58:05Z | |
| dc.date.issued | 2011-01 | |
| dc.description.abstract | Laser Doppler vibrometry enables the telemetry-free measurement of online turbomachinery blade vibration. Specifically, the Eulerian or fixed reference frame implementation of laser vibrometry provides a practical solution to the condition monitoring of rotating blades. The short data samples that are characteristic of this measurement approach do however negate the use of traditional frequency domain signal processing techniques. It is therefore necessary to employ techniques such as time domain analysis and non-harmonic Fourier analysis to obtain useful information from the blade vibration signatures. The latter analysis technique allows the calculation of phase angle trends which can be used as indicators of blade health deterioration, as has been shown in previous work for a single-blade rotor. | en_ZA |
| dc.description.department | Mechanical and Aeronautical Engineering | en_ZA |
| dc.description.librarian | hb2016 | en_ZA |
| dc.description.uri | http://www.elsevier.com/locate/jnlabr/ymssp | en_ZA |
| dc.identifier.citation | Oberholster, AJ & Heyns, PS 2011, 'Eulerian laser Doppler vibrometry : online blade damage identification on a multi-blade test rotor', Mechanical Systems and Signal Processing, vol. 25, no. 1, pp. 344-359. | en_ZA |
| dc.identifier.issn | 0888-3270 (print) | |
| dc.identifier.issn | 1096-1216 (online) | |
| dc.identifier.other | 10.1016/j.ymssp.2010.03.007 | |
| dc.identifier.uri | http://hdl.handle.net/2263/58340 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Elsevier | en_ZA |
| dc.rights | © 2011 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Mechanical Systems and Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Mechanical Systems and Signal Processing, vol. 25, no. 1, pp. 344-359, 2011. doi : 10.1016/j.ymssp.2010.03.007. | en_ZA |
| dc.subject | Online blade condition monitoring | en_ZA |
| dc.subject | Eulerian laser Doppler vibrometry | en_ZA |
| dc.subject | Multi-blade rotor | en_ZA |
| dc.subject | Non-harmonic Fourier analysis | en_ZA |
| dc.subject | Time domain analysis | en_ZA |
| dc.subject | Artificial neural networks | en_ZA |
| dc.title | Eulerian laser Doppler vibrometry : online blade damage identification on a multi-blade test rotor | en_ZA |
| dc.type | Postprint Article | en_ZA |