<div class="csl-bib-body">
<div class="csl-entry">Bešić, H. (2024). <i>Advanced techniques for resonance frequency monitoring in nanomechanical sensing : Integrative approaches and applications</i> [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.102531</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2024.102531
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/205892
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dc.description
Kumulative Dissertation aus drei Artikeln
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dc.description.abstract
This dissertation explores advanced techniques for resonance frequency monitoring in nanomechanical sensing, with a focus on integrative approaches and their applications. The research presents a comprehensive study on various frequency tracking schemes for NEMS (nanoelectromechanical systems) resonators, comparing open-loop and closed-loop methods.The findings demonstrate that all tracking schemes can achieve comparable performance in terms of accuracy and speed, suggesting that the performance limits are intrinsic to the NEMS resonator itself. This allows the choice of tracking scheme to be based on practical considerations such as cost and ease of implementation. Additionally, an adaptable frequency counter architecture is also developed, offering enhanced usability for frequency monitoring tasks within the NEMS community. Further contributions include the development of a thermal model for NEMS infrared spectroscopy, accurately capturing the transient response of NEMS to infrared light absorption. This model accounts for both the intrinsic response of the resonator and the frame-induced response. The introduction of an adaptable Kalman filter, integrating the NEMS response model with inherent noise profiles, enables faster and more precise measurements through optimal adaptive filtering.These advancements contribute to the field of nano mechanical sensing, providing newtools and methodologies for more accurate and efficient monitoring of resonance frequencies in NEMS devices.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
NEMS
en
dc.subject
Frequency Tracking
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dc.subject
Noise analysis
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dc.title
Advanced techniques for resonance frequency monitoring in nanomechanical sensing : Integrative approaches and applications
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2024.102531
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Hajrudin Bešić
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E366 - Institut für Sensor- und Aktuatorsysteme
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC17392786
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dc.description.numberOfPages
71
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
tuw.author.orcid
0000-0001-5057-705X
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dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.advisor.orcid
0000-0003-3778-7137
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item.languageiso639-1
en
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item.openairetype
doctoral thesis
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item.openairecristype
http://purl.org/coar/resource_type/c_db06
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E366-01 - Forschungsbereich Mikro- und Nanosensorik