| Issue |
E3S Web Conf.
Volume 140, 2019
International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|
|
|---|---|---|
| Article Number | 05013 | |
| Number of page(s) | 4 | |
| Section | Engineering Nets and Equipment | |
| DOI | https://doi.org/10.1051/e3sconf/201914005013 | |
| Published online | 18 December 2019 | |
Improving the reliability of the compressor unit using the wavelet transform method
1
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation
2
Petrovietnam Exploration Production Corporation, Ho Chi Minh City, Viet Nam
* Corresponding author: aksenovaax@mail.ru
Centrifugal compressors are an integral part of modern production in such industries as gas transmission, oil refining, metallurgical, machine-building, mining, as well as in electric and heat power engineering. Interruptions in the operation or failures of compressors lead to decrease in profit or large material loss. Conditions should be created for the safe (stable) operation of centrifugal compressors. Surge is global (complete) loss of stability, an unacceptable phenomenon for a centrifugal compressor. Compressor surge protection must function during operation. The algorithms used to protect centrifugal compressors against surge have some drawbacks, which makes it impossible to reliably prevent surges. There are many methods for analyzing rapidly changing processes in the flow part of a centrifugal compressor. The wavelet theory is the most accurate and modern method. The use of the wavelet transform method for signal processing allows us to solve the problems of analyzing non-stationary processes of a centrifugal compressor to expand the acceptable range of work and build reliable operation of the anti-surge diagnostic system. In the future, it is possible to use other basic wavelet functions, for comparison and selection of the most suitable one, for the analysis of unsteady signals in a centrifugal compressor.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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