Comparison of Empirical Mode Decomposition and Singular Spectrum Analysis for Quick and Robust Detection of Aerodynamic Instabilities in Centrifugal Compressors

Autor: Mateusz Stajuda, David García Cava, Grzegorz Liśkiewicz

Publikováno v: Sensors, Vol 22, Iss 5, p 2063 (2022)

Aerodynamic instabilities in centrifugal compressors are dangerous phenomena affecting machine efficiency and in severe cases leading to failure of the compressing system. Quick and robust instability detection during compressor operation is a challe

Externí odkaz: https://doaj.org/article/c873565dc894441b84f0c57d12a8af63

Unstable Flow Structures Present at Different Rotational Velocities of the Centrifugal Compressor

Autor: Grzegorz Liśkiewicz, Kirill Kabalyk, Andrzej Jaeschke, Filip Grapow, Michał Kulak, Mateusz Stajuda, Władysław Kryłłowicz

Publikováno v: Energies, Vol 13, Iss 16, p 4146 (2020)

Unstable flow structures cause inevitable energy losses in all power energy systems, including turbomachines. In this study, a set of analyses was conducted with the use of spectral maps on the pressure signals obtained from an industrial centrifugal

Externí odkaz: https://doaj.org/article/a9706adf4fb5458f9d78ecd631e1e95c

Evaluation of EMD and SSA sensitivity for efficient detection of aerodynamic instabilities in centrifugal compressors

Autor: David Garcia Cava, Grzegorz Liskiewicz, Mateusz Stajuda

Publikováno v: Stajuda, M, Garcia Cava, D & Liskiewicz, G 2021, Evaluation of EMD and SSA sensitivity for efficient detection of aerodynamic instabilities in centrifugal compressors . in 2021 Signal Processing Symposium (SPSympo) . https://doi.org/10.1109/SPSympo51155.2020.9593801

Aerodynamic instabilities in centrifugal compressors are dangerous phenomena affecting machines efficiency and in severe cases leading to failures of the compressing system due to high amplitude vibrations. Efficient instabilities detection during co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a510d595cfa81917dee9cf6edb99d65
https://doi.org/10.1109/spsympo51155.2020.9593801

Which factors influence the extent of indoor transmission of SARS-COV-2? A rapid evidence review

Autor: Roman Gabl, Madhurima Nundy, Ruth McQuillan, Gemma Nolan, Niall Anderson, Lara Goodwin, Salva Barranco Cárceles, Evanthia J Pappa, Simone Zen, Marshall Dozier, Ignazio Maria Viola, Emmanuel I. Epelle, Toneka Hayward, Antonio Attili, Mateusz Stajuda, Kayla Ostrishko, Prerna Krishan

Publikováno v: Goodwin, L, Hayward, T, Krishan, P, Nolan, G, Nundy, M, Ostrishko, K, Attili, A, Barranco Cárceles, S, Epelle, E, Gabl, R, Pappa, E, Stajuda, M, Zen, S, Dozier, M, Anderson, N, Viola, I M & McQuillan, R 2021, ' Which factors influence the extent of indoor transmission of SARS-COV-2? A rapid evidence review ', Journal of Global Health, vol. 11, 10002 . https://doi.org/10.7189/jogh.11.10002
Journal of Global Health

Background: It is well established that SARS-CoV-2 is readily transmitted in indoor environments; however questions remain about the relative importance of different transmission mechanisms, the risks associated with non-clinical indoor environments

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6929451896f4574a04bca63590f0c945
https://hdl.handle.net/20.500.11820/2c958ed2-2db3-4aa3-bea6-631e4b09c0d3

Flow Instabilities Detection in Centrifugal Blower Using Empirical Mode Decomposition

Autor: Grzegorz Liskiewicz, David Garcia, Mateusz Stajuda

Publikováno v: Stajuda, M, Liśkiewicz, G & Garcia Cava, D 2019, Flow instabilities detection in centrifugal blower using empirical mode decomposition . in Proceedings of Global Power and Propulsion Society : Beijing Conference 2019 . Proceedings of the Global Power and Propulsion Society (GPPS), Global Power and Propulsion Society (GPPS), Beijing, China, 16/09/19 . https://doi.org/10.33737/gpps19-bj-222

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ba9613cd352f1dde5316c62fe994e0
https://doi.org/10.33737/gpps19-bj-222