Publication:
Fuzzy logic-based digital filtering for temperature measurement via K-type thermocouple

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dc.contributor.authorsKorkmaz H., Can B.
dc.date.accessioned2022-03-15T01:54:32Z
dc.date.accessioned2026-01-11T15:53:16Z
dc.date.available2022-03-15T01:54:32Z
dc.date.issued2003
dc.description.abstractThe performance of a controller designed by using any method depends on the analog quantity to be controlled how accurate and noiseless it is measured. In this paper, the noise on the temperature data measured via a K-type thermocouple mounted on the lab set suitably realized for the purpose of measuring thermal expansion of metal samples is reduced by using two cascade band-pass filters (BPF) whose bandwidth can be set by taking advantage of fuzzy logic controller's relative error membership function. © 2003 IEEE.
dc.identifier.doi10.1109/CIMSA.2003.1227194
dc.identifier.isbn780377834
dc.identifier.issn21591547
dc.identifier.urihttps://hdl.handle.net/11424/246563
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofIEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBand pass filters
dc.subjectBandwidth
dc.subjectDigital filters
dc.subjectFiltering
dc.subjectFuzzy logic
dc.subjectNoise measurement
dc.subjectNoise reduction
dc.subjectTemperature control
dc.subjectTemperature measurement
dc.subjectThermal expansion
dc.titleFuzzy logic-based digital filtering for temperature measurement via K-type thermocouple
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage18
oaire.citation.startPage13
oaire.citation.titleIEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
oaire.citation.volume2003-January

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