This work proposes to perform a dynamic analysis of the friction force and the vibrations produced in pin-on-disk sliding tests. The sliding tests were run under dry condition with austenitic stainless steel and high-speed steel pairs. The obtained results were the pin mass loss, the average friction force and power spectrum density (PSD) graphs of the friction force and vibrations in normal and tangential directions to the contact. It was possible to notice that some natural frequencies of the machine system are excited during the tests. Analyses of the magnitudes of a specific frequency could show the existence of a relation between the machine system dynamics and the average friction and wear results, and it depended on the tested materials
Diagonal loading imparts robustness to adaptive beamformers. With it, the algorithm improves both its capacity of sidelobes attenuation and the signal-to-interference-plus-noiseratio (SINR). However, setting the appropriate loading factor γ value is not a straightforward task as it is dependent on various parameters. Therefore, this paper aims to establish its behavior related to changes in certain parameters-i.e., number of antennas, number of interferers, noise power and direction-ofarrival (DOA) uncertainty. This way, the value that gives suitable SINR results can be established.
In adaptive beamforming, computational cost is a critical factor for the beamformer performance. The newest methods employed in robust adaptive beamforming use complex calculations to achieve the highest SINR values, but the computational cost usually increases. So, methods to reduce this cost maintaining relatively high SINR are desired. The idea is to use simple beamforming methods when the SINR performance is reasonable and a more sophisticated method when it degrades below a certain value. Nonetheless, an algorithm that switches between the delay-and-sum and loaded sample-matrix inversion method is presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.