Stable or not stable? Recognizing surge based on the pressure signal

David Garcia Cava, Grzegorz Liśkiewicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The surge protection may be worth millions of dollars. This is typical price of a centrifugal compressor repair combined with additional cost of non-functionality of an industry employing it. This threat is normally secured by application of an anti-surge systems. Typically they are activated at predefined working conditions when compressor mass flow rate approaches region affected by the surge. As a result those systems are vastly limiting its operational range usually by a desirable region where compressor attains large pressure ratio. Therefore, a modern anti surge systems are aiming at diminishing this trade off by reacting to the real pressure signal gathered at high frequency. This paper presents one of those methods employing Singular Spectrum Analysis. This algorithm has not been
widely used for this application, while it was shown herein that it may bring clear distinction between stable and non-stable working condition. Even at pre-surge conditions. Hence in further perspective it may bring anti-surge protection quality, that was not met with another methods.
Original languageEnglish
Title of host publicationTransactions of the Institute of Fluid-Flow Machinery
Place of PublicationPoland
PublisherInstytut Maszyn Przepływowych
Publication statusPublished - 2016
Externally publishedYes
Event13th International Symposium On Compressor & Turbine Flow Systems : Theory & Application Areas - Lodz, Poland
Duration: 18 Oct 201820 Oct 2018
https://www.symkom.org/

Conference

Conference13th International Symposium On Compressor & Turbine Flow Systems
Abbreviated titleSYMKOM 2018 IMP2
Country/TerritoryPoland
CityLodz
Period18/10/1820/10/18
Internet address

Fingerprint

Dive into the research topics of 'Stable or not stable? Recognizing surge based on the pressure signal'. Together they form a unique fingerprint.

Cite this