Imperial College London
Alternate

DrChristophSchwingshackl

Faculty of Engineering, Department of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1920c.schwingshackl Website

 
 
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Location

 

559City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Heller:2020:10.1016/j.ymssp.2020.106741,
author = {Heller, D and Sever, IA and Schwingshackl, CW},
doi = {10.1016/j.ymssp.2020.106741},
journal = {Mechanical Systems and Signal Processing},
title = {A method for multi-harmonic vibration analysis of turbomachinery blades using Blade Tip-Timing and clearance sensor waveforms and optimization techniques},
url = {http://dx.doi.org/10.1016/j.ymssp.2020.106741},
volume = {142},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A novel concept of investigating blade vibration in turbomachinery is presented on the basis of Blade Tip-Timing (BTT) and clearance sensor waveform analysis methods (BLASMA), with which vibration parameters are determined by global optimization. It is shown that the modulation of the sensor output by blade vibration can offer additional information compared with under-sampled time-of-arrival (TOA) data from traditional BTT applications. The sensor data can not only improve the validity of statements on blade vibration but also lessen the dependence on contact-based strain gauges measurements to produce reference data. A study was conducted to evaluate the merit of sensor waveform analysis with regard to determining asynchronous and synchronous single-harmonic and multi-harmonic blade vibration parameters. At first, waveforms were recorded with capacitive sensors during an experiment conducted on a research compressor. The experimentally measured waveforms were afterwards replicated in a simulator for imitating passing events of rotating and vibrating blades along a single virtual capacitive sensor. Finally, vibration properties, such as amplitudes, frequencies, and phases, are extracted from these waveforms with the help of global optimization methods. An investigation into the error proneness of the methodology is attached.
AU  - Heller,D
AU  - Sever,IA
AU  - Schwingshackl,CW
DO  - 10.1016/j.ymssp.2020.106741
PY  - 2020///
SN  - 0888-3270
TI  - A method for multi-harmonic vibration analysis of turbomachinery blades using Blade Tip-Timing and clearance sensor waveforms and optimization techniques
T2  - Mechanical Systems and Signal Processing
UR  - http://dx.doi.org/10.1016/j.ymssp.2020.106741
VL  - 142
ER  -
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