Toward a detection approach of surge precursors using a semi-classical signal analysis method
Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Estimation, Modeling and ANalysis Group
Date
2022-06-24Embargo End Date
2023-06-24Permanent link to this record
http://hdl.handle.net/10754/679592
Metadata
Show full item recordAbstract
A semi-classical signal analysis (SCSA) method is presented in this paper to show the relevance of its use for the detection of compressors surge precursors. This approach provides some new spectral parameters from physical properties of flow that might be interesting for signal analysis of turbomachines unsteadiness in general and surge detection in particular. Spectral parameters are obtained by considering the studied temporal signal as a trap-potential for a semi-classical particle and are represented by discrete energy levels given by the discrete spectrum of a Schrödinger operator. In this paper, it is shown that the new parameters are very sensitive to rapid and very small disturbances and present actually an alternative or new indices for the analysis of unsteadiness in turbomachinery. To illustrate its potential and its usefulness, the SCSA method is applied for the analysis of surge early signs and operating range of a centrifugal compressor.Citation
Deligant, M., Pereira, M., Laleg-Kirati, T.-M., Bakir, F., & Khelladi, S. (2022). Toward a detection approach of surge precursors using a semi-classical signal analysis method. The European Physical Journal Plus, 137(6). https://doi.org/10.1140/epjp/s13360-022-02923-0Publisher
Springer Science and Business Media LLCJournal
EUROPEAN PHYSICAL JOURNAL PLUSAdditional Links
https://link.springer.com/10.1140/epjp/s13360-022-02923-0ae974a485f413a2113503eed53cd6c53
10.1140/epjp/s13360-022-02923-0