Transient response of temperature sensors

dc.contributor.advisorBell, J F W
dc.contributor.authorPrefumo, Jean-Pierre Guito
dc.date.accessioned2024-10-18T11:13:10Z
dc.date.available2024-10-18T11:13:10Z
dc.date.issued1994
dc.date.updated2024-07-12T07:23:20Z
dc.description.abstractTransient of time constant 10 seconds will be within 2 % of its final value in 40ยท seconds. Cancelling this response and iritroducing one of time constant 1 second enables the 2 % band to be reached in just 5 seconds. It was also possible to correct transient responses made up of two exponentials to speed them up. Recursive estimators, which is a technique derived from successive approximations, namely the linear recursive estimator was used to estimate temperature changes in real time by basically weighing the new estimate according to how good the previous estimate was. Temperature measurement in the presence of noise is possible by using the Kalman filter which is a very powerful and impressive recursive estimator. The Kalman filter is basically a simple low-pass digital filter. The processed output is simply the weighted sum of the current input and the previous output and the results obtained were quite remarkable indeed.
dc.identifier.apacitationPrefumo, J. G. (1994). <i>Transient response of temperature sensors</i>. (). ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/40587en_ZA
dc.identifier.chicagocitationPrefumo, Jean-Pierre Guito. <i>"Transient response of temperature sensors."</i> ., ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 1994. http://hdl.handle.net/11427/40587en_ZA
dc.identifier.citationPrefumo, J.G. 1994. Transient response of temperature sensors. . ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. http://hdl.handle.net/11427/40587en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Prefumo, Jean-Pierre Guito AB - [Pages at beginning missing] transient of time constant 10 seconds will be within 2 % of its final value in 40ยท seconds. Cancelling this response and iritroducing one of time constant 1 second enables the 2 % band to be reached in just 5 seconds. It was also possible to correct transient responses made up of two exponentials to speed them up. Recursive estimators, which is a technique derived from successive approximations, namely the linear recursive estimator was used to estimate temperature changes in real time by basically weighing the new estimate according to how good the previous estimate was. Temperature measurement in the presence of noise is possible by using the Kalman filter which is a very powerful and impressive recursive estimator. The Kalman filter is basically a simple low-pass digital filter. The processed output is simply the weighted sum of the current input and the previous output and the results obtained were quite remarkable indeed. DA - 1994 DB - OpenUCT DP - University of Cape Town KW - Electrical and Electronic Engineering LK - https://open.uct.ac.za PY - 1994 T1 - ETD: Transient response of temperature sensors TI - ETD: Transient response of temperature sensors UR - http://hdl.handle.net/11427/40587 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/40587
dc.identifier.vancouvercitationPrefumo JG. Transient response of temperature sensors. []. ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 1994 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/40587en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Electrical Engineering
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.subjectElectrical and Electronic Engineering
dc.titleTransient response of temperature sensors
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
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