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dc.contributor.author
Masch, Federico Rafael  
dc.contributor.author
Hecker, Rogelio Lorenzo  
dc.contributor.author
Capraro Fuentes, Flavio Andres  
dc.date.available
2023-01-04T13:51:30Z  
dc.date.issued
2021-07  
dc.identifier.citation
Masch, Federico Rafael; Hecker, Rogelio Lorenzo; Capraro Fuentes, Flavio Andres; Modal filter design reducing the impact of sensors noise on the filter outputs; Academic Press Ltd - Elsevier Science Ltd; Mechanical Systems And Signal Processing; 156; 7-2021; 1-11  
dc.identifier.issn
0888-3270  
dc.identifier.uri
http://hdl.handle.net/11336/183288  
dc.description.abstract
Discrete modal filters can be obtained as a weighted sum of the output signals from an array of discrete sensors installed in a flexible structure. Although several researchers proposed different design methodologies and implementation strategies for modal filters based on a particular array of discrete sensors, the noise component of these sensors was not analyzed and included in the design process. Therefore, this work presents a methodology to identify the topology of sensors and filter gains that minimize the noise component in the filter output. The experimental implementation of this methodology shows that an adequate topology of sensors can maintain the same level of noise from the sensors in the filter output. Furthermore, the noise at the filter output can increase considerably if other not suitable topologies are selected.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Ltd - Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
MODAL FILTER  
dc.subject
MODAL FILTER NOISE  
dc.subject
SENSORS TOPOLOGY  
dc.subject.classification
Mecánica Aplicada  
dc.subject.classification
Ingeniería Mecánica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Modal filter design reducing the impact of sensors noise on the filter outputs  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-01-25T14:40:09Z  
dc.journal.volume
156  
dc.journal.pagination
1-11  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Masch, Federico Rafael. Universidad Nacional de La Pampa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Hecker, Rogelio Lorenzo. Universidad Nacional de La Pampa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Capraro Fuentes, Flavio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.journal.title
Mechanical Systems And Signal Processing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0888327021000728  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ymssp.2021.107677