@article{MTMT:32775492,
	title = {An automated method for the identification of interaction tone noise sources on the beamforming maps of counter-rotating rotors},
	url = {https://m2.mtmt.hu/api/publication/32775492},
	author = {Fenyvesi, Bence and Kriegseis, J. and Horváth, Csaba},
	doi = {10.1063/5.0083634},
	journal-iso = {PHYS FLUIDS},
	journal = {PHYSICS OF FLUIDS},
	volume = {34},
	unique-id = {32775492},
	issn = {1070-6631},
	abstract = {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.},
	year = {2022},
	eissn = {1089-7666},
	pages = {047105-047105-16},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Kriegseis, J./0000-0002-2737-2539; Horváth, Csaba/0000-0002-5154-9760}
}

@article{MTMT:32605932,
	title = {Identification of Turbomachinery Noise Sources via Processing Beamforming Data Using Principal Component Analysis},
	url = {https://m2.mtmt.hu/api/publication/32605932},
	author = {Fenyvesi, Bence and Horváth, Csaba},
	doi = {10.3311/PPme.18555},
	journal-iso = {PERIOD POLYTECH MECH ENG},
	journal = {PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING},
	volume = {66},
	unique-id = {32605932},
	issn = {0324-6051},
	abstract = {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.},
	year = {2022},
	eissn = {1587-379X},
	pages = {32-50},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:31827885,
	title = {Forgógépek modellezett zajforrásainak vizsgálata dekompozíciós módszer segítségével},
	url = {https://m2.mtmt.hu/api/publication/31827885},
	author = {Fenyvesi, Bence and Horváth, Csaba},
	booktitle = {Tavaszi Szél 2020 Konferencia = Spring Wind 2020: Konferenciakötet},
	unique-id = {31827885},
	year = {2020},
	pages = {1-12},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:30693434,
	title = {Towards counter-rotating open rotor noise reduction via radiation efficiency considerations},
	url = {https://m2.mtmt.hu/api/publication/30693434},
	author = {Horváth, Csaba and Fenyvesi, Bence and Kocsis, Bálint and Quaglia, Michael and Moreau, Stéphane and Kennedy, John and Bennett, Gareth J.},
	booktitle = {25th AIAA/CEAS Aeroacoustics Conference},
	doi = {10.2514/6.2019-2548},
	unique-id = {30693434},
	year = {2019},
	orcid-numbers = {Horváth, Csaba/0000-0002-5154-9760; Fenyvesi, Bence/0000-0001-7073-2424}
}

@inproceedings{MTMT:30693326,
	title = {Investigation of Rotating Coherent BPF Noise Sources via the Application of Beamforming and Proper Orthogonal Decomposition},
	url = {https://m2.mtmt.hu/api/publication/30693326},
	author = {Fenyvesi, Bence and Jochen, Kriegseis and Horváth, Csaba},
	booktitle = {48th International Congress and Exhibition on Noise Control Engineering},
	unique-id = {30693326},
	year = {2019},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:30693280,
	title = {Application of a Combined Method for the Investigation of Turbomachinery Noise Sources: Beamforming and Proper Orthogonal Decomposition},
	url = {https://m2.mtmt.hu/api/publication/30693280},
	author = {Fenyvesi, Bence and Horváth, Csaba and Kriegseis, Jochen},
	booktitle = {25th AIAA/CEAS Aeroacoustics Conference},
	doi = {10.2514/6.2019-2637},
	unique-id = {30693280},
	year = {2019},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@article{MTMT:30340946,
	title = {Investigation of a Pylons Effect on the Character of Counter-Rotating Open Rotor Noise Using Beamforming Technology},
	url = {https://m2.mtmt.hu/api/publication/30340946},
	author = {Fenyvesi, Bence and Tokaji, Kristóf and Horváth, Csaba},
	doi = {10.3813/AAA.919287},
	journal-iso = {ACTA ACUST UNITED AC},
	journal = {ACTA ACUSTICA UNITED WITH ACUSTICA},
	volume = {105},
	unique-id = {30340946},
	issn = {1610-1928},
	year = {2019},
	eissn = {1861-9959},
	pages = {56-65},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Tokaji, Kristóf/0000-0001-7572-6875; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:3421517,
	title = {Investigation of the noise sources of a pylon},
	url = {https://m2.mtmt.hu/api/publication/3421517},
	author = {Tokaji, Kristóf and Fenyvesi, Bence and Kocsis, Bálint and Horváth, Csaba},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'18)},
	unique-id = {3421517},
	year = {2018},
	orcid-numbers = {Tokaji, Kristóf/0000-0001-7572-6875; Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:3421514,
	title = {Investigation of turbomachinery noise sources using beamforming technology and proper orthogonal decomposition methods},
	url = {https://m2.mtmt.hu/api/publication/3421514},
	author = {Fenyvesi, Bence and Simon, Eszter and Jochen, Kriegseis and Horváth, Csaba},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'18)},
	unique-id = {3421514},
	year = {2018},
	orcid-numbers = {Fenyvesi, Bence/0000-0001-7073-2424; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:3420082,
	title = {Drone noise reduction via radiation efficiency considerations},
	url = {https://m2.mtmt.hu/api/publication/3420082},
	author = {Horváth, Csaba and Fenyvesi, Bence and Kocsis, Bálint},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'18)},
	unique-id = {3420082},
	year = {2018},
	orcid-numbers = {Horváth, Csaba/0000-0002-5154-9760; Fenyvesi, Bence/0000-0001-7073-2424}
}