Flow instabilities detection in centrifugal blower using empirical mode decomposition

Mateusz Stajuda, Grzegorz Liśkiewicz, David Garcia Cava

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

Abstract / Description of output

The aim of this article is to present the application of empirical mode decomposition (EMD) for centrifugal blower flow instabilities detection. The analysis of pressure signal features extracted by EMD technique provides indicators of flow phenomena, which could be used for creating an efficient data-based controller. Quasi-dynamic pressure signals from industrial-size blower are used as an input data for EMD algorithms. An energy-based approach to intrinsic mode functions (IMF) is applied, showing the possibility of condition monitoring and instabilities detection, distinctly displaying surge conditions and inlet recirculation. Different intrinsic mode functions (IMFs) are used to detect different instabilities. EMD also presents some potential in detection of optimal operation conditions for impeller, providing additional benefit for a control system. The possibilities of EMD analysis applied to centrifugal blowers and compressors will be further investigated.
Original languageEnglish
Title of host publicationProceedings of Global Power and Propulsion Society
Subtitle of host publicationBeijing Conference 2019
PublisherGlobal Power and Propulsion Society (GPPS)
Publication statusPublished - 18 Sept 2019
EventGlobal Power and Propulsion Society (GPPS) - Beijing, China
Duration: 16 Sept 201918 Sept 2019

Publication series

NameProceedings of the Global Power and Propulsion Society (GPPS)
PublisherGlobal Power and Propulsion Society
ISSN (Electronic)2504-4400


ConferenceGlobal Power and Propulsion Society (GPPS)
Internet address


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