@article{MTMT:34518784,
	title = {Further development of rotating beamforming techniques using asynchronous measurements},
	url = {https://m2.mtmt.hu/api/publication/34518784},
	author = {Kocsis, Bálint and Horváth, Csaba},
	doi = {10.1142/S2591728523400066},
	journal-iso = {J THEOR COMPUT ACOUS},
	journal = {Journal of Theoretical and Computational Acoustics},
	volume = {32},
	unique-id = {34518784},
	issn = {2591-7285},
	abstract = {When rotating noise sources, such as turbomachinery, are investigated using phased microphone array measurements and beamforming, sidelobes appear on the resulting beamforming maps. Sidelobes can be decreased by increasing the number of microphones. However, if the investigated phenomenon is steady, then there is a cost-effective alternative: performing asynchronous measurements using phased arrays having a limited number of microphones. The single beamforming maps can be combined in order to arrive at results that are superior in resolution and sidelobe levels. This technique has been investigated in the literature, but according to the authors’ best knowledge, has not yet been applied to turbomachinery. This article introduces a means for applying the asynchronous measurement technique and the combination methods for rotating noise sources. The combination methods are demonstrated on two rotating point sources (both in simulations and measurements), and then on an axial flow fan test case. In the case of the two rotating point sources, the achievable improvement in resolution, average-, and maximum sidelobe levels are shown as compared to the single results. In the case of the axial flow fan, it is demonstrated that the combination methods provide more reliable noise source locations and reveal further noise sources.},
	year = {2024},
	eissn = {2591-7811},
	orcid-numbers = {Horváth, Csaba/0000-0002-5154-9760}
}

@misc{MTMT:34518816,
	title = {International Journal of Turbomachinery, Propulsion and Power. Selected Turbomachinery Papers from the 18th Conference on Modelling Fluid Flow CMFF'22},
	url = {https://m2.mtmt.hu/api/publication/34518816},
	editor = {Vad, János and Horváth, Csaba and Benedek, Tamás},
	unique-id = {34518816},
	year = {2023},
	orcid-numbers = {Vad, János/0000-0001-5589-1603; Horváth, Csaba/0000-0002-5154-9760; Benedek, Tamás/0000-0001-8057-3156}
}

@article{MTMT:33681855,
	title = {Open photoacoustic cell for concentration measurements in rapidly flowing gas},
	url = {https://m2.mtmt.hu/api/publication/33681855},
	author = {Fekete, János and Torma, Péter and Szabó, Anna and Balogh, Miklós and Horváth, Csaba and Weidinger, Tamás and Szabó, Gábor and Bozóki, Zoltán},
	doi = {10.1016/j.pacs.2023.100469},
	journal-iso = {PHOTOACOUSTICS},
	journal = {PHOTOACOUSTICS},
	volume = {30},
	unique-id = {33681855},
	issn = {2213-5979},
	abstract = {High temporal resolution concentration measurements in rapid gas flows pose a serious challenge for most analytical instruments. The interaction of such flows with solid surfaces can generate excessive aero-acoustic noise making the application of the photoacoustic detection method seemingly impossible. Yet, the fully open photoacoustic cell (OC) has proven to be operable even when the measured gas flows through it at a velocity of several m/s. The OC is a slightly modified version of a previously introduced OC based on the excitation of a combined acoustic mode of a cylindrical resonator. The noise characteristics and analytical performance of the OC are tested in an anechoic room and under field conditions. Here we present the first successful application of a sampling-free OC for water vapor flux measurements.},
	year = {2023},
	eissn = {2213-5979},
	orcid-numbers = {Torma, Péter/0000-0001-9282-6931; Horváth, Csaba/0000-0002-5154-9760; Weidinger, Tamás/0000-0001-7500-6579; Szabó, Gábor/0000-0001-6756-4677}
}

@misc{MTMT:33645609,
	title = {Technische Mechanik. Vol. 43 No. 1 (2023): Special Issue for CMFF’22},
	url = {https://m2.mtmt.hu/api/publication/33645609},
	editor = {Dominique, Thévenin and Vad, János and Horváth, Csaba and Gábor, Janiga},
	unique-id = {33645609},
	abstract = {This volume of Tech. Mech. contains selected papers presented at the 18th event of the international conference series on fluid flow technologies, referred to today as Conference on Modelling Fluid Flow (CMFF’22). This conference took place in Budapest (Hungary) between Aug. 30th and Sept. 2nd, 2022, with more than 100 participants from 14 countries. The next event is scheduled for September 2025. Please bookmark https://www.cmff.hu if you would like to be kept informed.},
	year = {2023},
	pages = {1-202},
	orcid-numbers = {Vad, János/0000-0001-5589-1603; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:33266087,
	title = {The investigation of counter-rotating turbomachinery broadband noise sources as a function of rotational speed},
	url = {https://m2.mtmt.hu/api/publication/33266087},
	author = {Romasz, Ádám and Tokaji, Kristóf and Horváth, Csaba},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'22)},
	unique-id = {33266087},
	year = {2022},
	pages = {173-181},
	orcid-numbers = {Tokaji, Kristóf/0000-0001-7572-6875; Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:33119045,
	title = {AEROACOUSTIC NOISE REDUCTION OF OPEN PHOTOACOUSTIC CELLS SUPPORTED BY EXPERIMENTS AND SIMULATIONS},
	url = {https://m2.mtmt.hu/api/publication/33119045},
	author = {Balogh, Miklós and Koscsó, Gábor and Kocsis, Bálint and Horváth, Csaba and Bozóki, Zoltán},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'22)},
	unique-id = {33119045},
	year = {2022},
	pages = {452-459},
	orcid-numbers = {Horváth, Csaba/0000-0002-5154-9760}
}

@inproceedings{MTMT:33108529,
	title = {Aeroservoelasticity investigation with panel method},
	url = {https://m2.mtmt.hu/api/publication/33108529},
	author = {Olgyay, Ábel and Takarics, Béla and Körösparti, Bence Balázs and Lelkes, János and Horváth, Csaba and Vanek, Bálint},
	booktitle = {Proceedings of Conference on Modelling Fluid Flow (CMFF'22)},
	unique-id = {33108529},
	year = {2022},
	pages = {392-399},
	orcid-numbers = {Lelkes, János/0000-0002-6205-4923; Horváth, Csaba/0000-0002-5154-9760; Vanek, Bálint/0000-0002-2458-2725}
}

@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:32651252,
	title = {Segmented ROSI method: Beamforming method for investigating turbomachinery noise sources along segmented trajectories},
	url = {https://m2.mtmt.hu/api/publication/32651252},
	author = {Zhang, Haitian and Kocsis, Bálint and Horváth, Csaba},
	doi = {10.3397/1/37705},
	journal-iso = {NOISE CONTROL ENG J},
	journal = {NOISE CONTROL ENGINEERING JOURNAL},
	volume = {70},
	unique-id = {32651252},
	issn = {0736-2501},
	abstract = {The rotating source identifier (ROSI) beamforming method is a method designed for localizing rotating noise sources in a uniform flow based on out-of-flow acoustic pressure field measurement data. It has been developed for sources moving along a circular trajectory, such as turbomachinery blades. The original ROSI method processes the measured acoustic signals over a long time segment to reconstruct the noise sources, providing time-averaged results for each noise source. By doing so, it does not take into consideration certain features of the noise sources, such as the directivity of the trailing edge and leading-edge noise sources. A further development of the ROSI method is presented herein, which separates the sound-pressure signal of one revolution into multiple segments. In this way, the beamforming maps can provide one with a better understanding of the differences between the noise sources as a function of angular position. This method will be referred to herein as the segmented ROSI method. The goal of this further development is to improve the capability of the method in identifying the position-dependent modulations of the various noise sources as they are moving along their trajectories, rotating around the axis. The investigation presents the theory behind the new segmented ROSI method along with simulation and measurement-based test cases which help in comparing the new method to the original ROSI method. The results show that the novel method provides a strong tool for investigating turbomachinery noise sources that vary along segments of their trajectories. It is therefore expected that the tool will be useful in cases that look at turbomachinery from an angle and cases where the loading of the blades changes as a function of angular position.},
	year = {2022},
	eissn = {0736-2501},
	pages = {62-76},
	orcid-numbers = {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}
}