Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Cięszczyk Sławomir, Komada Paweł
Wersja dokumentu:	Drukowana \| Elektroniczna
Arkusze wydawnicze:	0,5
Język:	angielski
Strony:	173 - 179
Web of Science® Times Cited:	2
Scopus® Cytowania:	4
Bazy:	Web of Science \| Scopus
Efekt badań statutowych	NIE
Materiał konferencyjny:	TAK
Nazwa konferencji:	16th Conference on Optical Fibers and their Applications
Skrócona nazwa konferencji:	16th SPIE-IEEE-OFTA 2015
URL serii konferencji:	LINK
Termin konferencji:	22 września 2015 do 25 września 2015
Miasto konferencji:	Nałęczów
Państwo konferencji:	POLSKA
Publikacja OA:	NIE
Abstrakty:	angielski
	This article presents the problem of the impact of environmental disturbances on the determination of information from measurements. As an example, NDIR sensor is studied, which can measure industrial or environmental gases of varying temperature. The issue of changes of influence quantities value appears in many industrial measurements. Developing of appropriate algorithms resistant to conditions changes is key problem. In the resulting mathematical model of inverse problem additional input variables appears. Due to the difficulties in the mathematical description of inverse model neural networks have been applied. They do not require initial assumptions about the structure of the created model. They provide correction of sensor non-linearity as well as correction of influence of interfering quantity. The analyzed issue requires additional measurement of disturbing quantity and its connection with measurement of primary quantity. Combining this information with the use of neural networks belongs to the class of sensor fusion algorithm.

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Neural network fusion and inversion model for NDIR sensor measurement

Fragment książki (Materiały konferencyjne)