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DC poleHodnotaJazyk
dc.contributor.authorŠtork, Milan
dc.date.accessioned2021-05-17T10:00:19Z-
dc.date.available2021-05-17T10:00:19Z-
dc.date.issued2021
dc.identifier.citationŠTORK, M. Using pulse width modulation with carrier frequency changing for transmission of two separate signals. Analog integrated circuits and signal processing, 2021, roč. 106, č. 3, s. 535-542. ISSN 0925-1030.cs
dc.identifier.issn0925-1030
dc.identifier.uri2-s2.0-85095424345
dc.identifier.urihttp://hdl.handle.net/11025/43206
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesAnalog Integrated Circuits And Signal Processingen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Springeren
dc.titleUsing pulse width modulation with carrier frequency changing for transmission of two separate signalsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedOxide Precipitation Hardened (OPH) alloys are a new generation of Oxide Dispersion Strengthened (ODS) alloys which have outstanding mechanical properties based on using appropriate heat treatment (HT). The production consists of mechanical alloying, which leads to a ductile matrix and hard oxide dispersion; however, the initial state shows a fine grain structure and basic mechanical properties. The composition, production process parameters, and HT affect the hardness of the OPH. In order to obtain a better understanding of the hardness of OPH alloys, three machine learning techniques were developed using ANN, ANFIS and SVMR to simulate the hardness. Moreover, the importance and intensity of the impact of each parameter on the hardness of OPH alloys were discussed. Based on the experimental results achieved by the authors, the composition of OPH alloys (Al, Mo, Fe, Cr, Ta, Y, and O), HT conditions, and Mechanical Alloying (MA) was used to train the models as inputs. The validity of the models was measured by different statistical criteria such as R, k, k′, m, n, and Rm. The mean absolute error for prediction of the hardness values at the test set was about 32 HV (ANFIS model), 37 HV (ANN model), and 44 HV (SVMR model). The results demonstrated that the ANFIS model predicts more accurately than the other methods. The sensitivity analysis and the influence of valid parameters were studied for the ANFIS model. It was revealed that HT temperature has a great effect on the hardness of the OPH alloys.en
dc.subject.translatedpulse width modulationen
dc.subject.translatedfrequency modulationen
dc.subject.translatedpulse width demodulationen
dc.subject.translatedfrequency to voltage converteren
dc.subject.translatedphase locked loopen
dc.identifier.doi10.1007/s10470-020-01740-8
dc.type.statusPeer-revieweden
dc.identifier.document-number585760800001
dc.identifier.obd43930861
dc.project.IDEF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligencecs
dc.project.IDSGS-2018-001/Výzkum a vývoj elektronických a komunikačních systémů ve vědeckých a inženýrských aplikacíchcs
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