Filtering Noisy Data From Analog PT1000 Temperature Sensor with Selection Sort Algorithm

dc.authorid0000-0002-6734-5906en_US
dc.contributor.authorGolcuk, Adem
dc.date.accessioned2023-08-01T11:26:03Z
dc.date.available2023-08-01T11:26:03Z
dc.date.issued2023 Nisanen_US
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.description.abstractThere are many sensors to digitize measurable data in medicine, automotive, industry and all areas of life. When reading data from these sensors, interferences occurs due to both sensor error and environmental effects. Although hardware filters, such as low-pass filters, reduce erroneous data read from sensors, they cannot completely filter out. For this reason, it is seen that many digital filters have been developed in the literature. In this study, selection sort algorithm was used to filter the erroneous and noisy data obtained from PT1000 temperature sensors. Although the results produced by the selection sort software filter used in this study are tested with the data read from the PT1000 temperature sensor, it can be used to filter the noisy data produced by all sensors. As a result of the experimental studies, it was observed that the noisy data in the raw data was completely filtered and the data frequency read from the sensor decreased with the selection sort algorithm used in this study. It is understood that the selection sort algorithm used to filter the noisy data read from the sensor completely deletes the noisy data, but reduces the data reading frequency. As a result of this study, it is suggested that selection sort algorithm can be used to filter noisy data in sensor applications that do not require high frequency.en_US
dc.identifier.citationGolcuk, A., (2023). Filtering Noisy Data From Analog PT1000 Temperature Sensor with Selection Sort Algorithm. Selcuk University Journal of Engineering Sciences, 22(1), 1-5.en_US
dc.identifier.endpage5en_US
dc.identifier.issn2757-8828en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/49025
dc.identifier.volume22en_US
dc.institutionauthorGolcuk, Adem
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMicrocontrolleren_US
dc.subjectPT1000 Temperature Sensoren_US
dc.subjectSelection Sorten_US
dc.subjectSoftware Filteren_US
dc.titleFiltering Noisy Data From Analog PT1000 Temperature Sensor with Selection Sort Algorithmen_US
dc.typeArticleen_US

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