TY - JOUR AU - Fenyvesi, Bence AU - Kriegseis, J. AU - Horváth, Csaba TI - An automated method for the identification of interaction tone noise sources on the beamforming maps of counter-rotating rotors JF - PHYSICS OF FLUIDS J2 - PHYS FLUIDS VL - 34 PY - 2022 IS - 4 SP - 047105 EP - 047105-16 PG - 17 SN - 1070-6631 DO - 10.1063/5.0083634 UR - https://m2.mtmt.hu/api/publication/32775492 ID - 32775492 N1 - Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Fluid Mechanics, Muegyetem rkp. 3, Budapest, 1111, Hungary Karlsruhe Institute of Technology (KIT), Institute of Fluid Mechanics (ISTM), Kaiserstraße 10, Karlsruhe, 76131, Germany Export Date: 29 April 2022 CODEN: PHFLE Correspondence Address: Horváth, C.; Budapest University of Technology and Economics, Muegyetem rkp. 3, Hungary; email: horvath.csaba@gpk.bme.hu AB - Counter-rotating rotor configurations are considered more efficient than their single rotor counterparts. Consequently, the coaxially aligned rotors have appeared in the fixed-wing aircraft sector and are appearing in the quickly developing unmanned aerial vehicle sector, where they are expected to play a significant role, especially for long haul and heavy load configurations. As their noise levels have proven to be rather significant, the localization and reduction of the noise of such counter-rotating blade sets is a relevant topic of interest. One of the dominant contributors to counter-rotating rotor noise is interaction tones. Interaction tones appear at combinations of the harmonics of the blade passing frequencies of the two rotors and are significant throughout the spectra. In this paper, an automated method is presented that analyzes an entire series of beamforming noise source maps using principal component analysis-based methods in order to identify the dom- inant noise generation mechanisms in frequency bins that are associated with interaction tones. The processing technique is presented herein through the investigation of counter-rotating open rotor datasets developed for a fixed-wing aircraft configuration. With the proposed method, an objective mean has been provided for separating apart contributions from various noise sources, which can be automated, mak- ing the processing and investigation of large sets of measurement data rather quick and easy. The method has been developed such that the results of the analysis are easy to comprehend even without specialized prior knowledge in the area of counter-rotating rotor noise. LA - English DB - MTMT ER - TY - JOUR AU - Fenyvesi, Bence AU - Horváth, Csaba TI - Identification of Turbomachinery Noise Sources via Processing Beamforming Data Using Principal Component Analysis JF - PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING J2 - PERIOD POLYTECH MECH ENG VL - 66 PY - 2022 IS - 1 SP - 32 EP - 50 PG - 19 SN - 0324-6051 DO - 10.3311/PPme.18555 UR - https://m2.mtmt.hu/api/publication/32605932 ID - 32605932 N1 - Cited By :1 Export Date: 2 May 2022 CODEN: PPMMB Correspondence Address: Fenyvesi, B.; Department of Fluid Mechanics, Bertalan Lajos street 4–6, Hungary; email: fenyvesi@ara.bme.hu AB - Complex turbomachinery systems produce a wide range of noise components. The goal is to identify noise source categories, determine their characteristic noise patterns and locations. Researchers can then use this information to quantify the impact of these noise sources, based on which new design guidelines can be proposed. Phased array microphone measurements processed with acoustic beamforming technology provide noise source maps for pre-determined frequency bands (i.e., bins) of the investigated spectrum. However, multiple noise generation mechanisms can be active in any given frequency bin. Therefore, the identification of individual noise sources is difficult and time consuming when using conventional methods, such as manual sorting. This study presents a method for combining beamforming with Principal Component Analysis (PCA) methods in order to identify and separate apart turbomachinery noise sources with strong harmonics. The method is presented through the investigation of Counter-Rotating Open Rotor (CROR) noise sources. It has been found that the proposed semi-automatic method was able to extract even weak noise source patterns that repeat throughout the data set of the beamforming maps. The analysis yields results that are easy to comprehend without special prior knowledge and is an effective tool for identifying and localizing noise sources for the acoustic investigation of various turbomachinery applications. LA - English DB - MTMT ER - TY - CHAP AU - Fenyvesi, Bence AU - Horváth, Csaba ED - Szabó, Csaba TI - Forgógépek modellezett zajforrásainak vizsgálata dekompozíciós módszer segítségével T2 - Tavaszi Szél 2020 Konferencia = Spring Wind 2020: Konferenciakötet PB - Doktoranduszok Országos Szövetsége (DOSZ) CY - Budapest SN - 9786155586729 PY - 2020 SP - 1 EP - 12 PG - 12 UR - https://m2.mtmt.hu/api/publication/31827885 ID - 31827885 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Horváth, Csaba AU - Fenyvesi, Bence AU - Kocsis, Bálint AU - Quaglia, Michael AU - Moreau, Stéphane AU - Kennedy, John AU - Bennett, Gareth J. TI - Towards counter-rotating open rotor noise reduction via radiation efficiency considerations T2 - 25th AIAA/CEAS Aeroacoustics Conference PB - American Institute of Aeronautics and Astronautics (AIAA) CY - Reston (VA) SN - 9781624105883 PY - 2019 PG - 16 DO - 10.2514/6.2019-2548 UR - https://m2.mtmt.hu/api/publication/30693434 ID - 30693434 LA - English DB - MTMT ER - TY - CHAP AU - Fenyvesi, Bence AU - Jochen, Kriegseis AU - Horváth, Csaba ED - Calvo-Manzano, Antonio TI - Investigation of Rotating Coherent BPF Noise Sources via the Application of Beamforming and Proper Orthogonal Decomposition T2 - 48th International Congress and Exhibition on Noise Control Engineering PB - Sociedad Española de Acústica CY - Madrid SN - 9788487985317 PY - 2019 PG - 12 UR - https://m2.mtmt.hu/api/publication/30693326 ID - 30693326 LA - English DB - MTMT ER - TY - CHAP AU - Fenyvesi, Bence AU - Horváth, Csaba AU - Kriegseis, Jochen TI - Application of a Combined Method for the Investigation of Turbomachinery Noise Sources: Beamforming and Proper Orthogonal Decomposition T2 - 25th AIAA/CEAS Aeroacoustics Conference PB - American Institute of Aeronautics and Astronautics (AIAA) CY - Reston (VA) SN - 9781624105883 PY - 2019 PG - 17 DO - 10.2514/6.2019-2637 UR - https://m2.mtmt.hu/api/publication/30693280 ID - 30693280 LA - English DB - MTMT ER - TY - JOUR AU - Fenyvesi, Bence AU - Tokaji, Kristóf AU - Horváth, Csaba TI - Investigation of a Pylons Effect on the Character of Counter-Rotating Open Rotor Noise Using Beamforming Technology JF - ACTA ACUSTICA UNITED WITH ACUSTICA J2 - ACTA ACUST UNITED AC VL - 105 PY - 2019 IS - 1 SP - 56 EP - 65 PG - 10 SN - 1610-1928 DO - 10.3813/AAA.919287 UR - https://m2.mtmt.hu/api/publication/30340946 ID - 30340946 LA - English DB - MTMT ER - TY - CHAP AU - Tokaji, Kristóf AU - Fenyvesi, Bence AU - Kocsis, Bálint AU - Horváth, Csaba ED - Vad, János TI - Investigation of the noise sources of a pylon T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'18) PB - CFD.HU Áramlástechnikai Kft CY - Budapest SN - 9789633132975 ET - 0 PY - 2018 PG - 8 UR - https://m2.mtmt.hu/api/publication/3421517 ID - 3421517 LA - English DB - MTMT ER - TY - CHAP AU - Fenyvesi, Bence AU - Simon, Eszter AU - Jochen, Kriegseis AU - Horváth, Csaba ED - Vad, János TI - Investigation of turbomachinery noise sources using beamforming technology and proper orthogonal decomposition methods T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'18) PB - CFD.HU Áramlástechnikai Kft CY - Budapest SN - 9789633132975 PY - 2018 PG - 8 UR - https://m2.mtmt.hu/api/publication/3421514 ID - 3421514 LA - English DB - MTMT ER - TY - CHAP AU - Horváth, Csaba AU - Fenyvesi, Bence AU - Kocsis, Bálint ED - Vad, János TI - Drone noise reduction via radiation efficiency considerations T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'18) PB - CFD.HU Áramlástechnikai Kft CY - Budapest SN - 9789633132975 PY - 2018 PG - 7 UR - https://m2.mtmt.hu/api/publication/3420082 ID - 3420082 LA - English DB - MTMT ER -