1. SylabUZ
2. Wydział Informatyki, Elektrotechniki i Automatyki
3. semestr zimowy 2017/2018
4. Elektrotechnika - Program Erasmus drugiego stopnia
5. Modelling of measurement transducers

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Modelling of measurement transducers - opis przedmiotu

Cel przedmiotu

Acquaint students with the basic principles of construction of mathematical models of measurement transducers.

Shaping of basic skills in analyzing of sources error primary function blocks measuring transducers.

Shaping of basic skills for conducting simulation research and experimental research measuring transducers.

Wymagania wstępne

Zapisz zmiany

Measurement transducers.

Zakres tematyczny

General characteristic of smart measurement transducers. Characteristic of basic functional smart measurement transducers blocks. Features distinguishing smart measurement transducers from previous generation transducers.

General notes about designing and role of mathematical model. The aim and stages of the design process. Sequential-iteration design algorithm. Limitations in the process of designing. Essence and scope of the mathematical modeling.

Fundamentals of models building. Stages of mathematical modeling. Analogies between physical phenomena. Methods of creation of mathematical models. Examples of building models of sensor and hardware analog-to-digital.

Basic elements of transducers and their mathematical models. Mathematical models of input circuits, analogue function modules, S/H and A/D converters. Application of artificial intelligence methods in modeling of measuring transducers.

Designing rules of measurement transducers with analogue function operators. Transducer of active power and root mean square voltage.

Designing rules of measurement transducers with S/H transducers. Active power transducer.

Selected methods of measurement transducers error correction. General notes about methods of error correction. Selected correction procedures. Iteration methods. Method of reference sources. Test methods. Adaptation of measurement circuit parameters to parameters of processed signals and work conditions. Multiparameter methods. Selected examples of smart sensors and transducers.

Metody kształcenia

Lecture, laboratory exercises.

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

Lecture – the main condition to get a pass are sufficient marks in written or oral tests conducted at least once a semester.

Laboratory – the main condition to get a pass are sufficient marks for all exercises and tests conducted during the semester.

Calculation of the final grade: lecture 50% + laboratory 50%

Literatura podstawowa

1. Bolikowski J. (red): Essentials of designing of smart measurement transducers of electrical quantities, Monograph Nr 68, WSI, Zielona Gora 1993 (in Polish).
2. Gajda J., Szyper M.: Modeling and simulation research of measurement systems, Jartek s.c. Krakow 1998 (in Polish).
3. Jakubiec J., Roj J.: Measurement sample transducers, Wydawnictwo Politechniki Śląskiej, Gliwice, 2000 (in Polish).
4. Kesler W.: The Data Conversion Handbook, Analog Devices Inc., Newnes, 2004.
5. Proakis J.G, Manolakis D.G.: Digital Signal Processing. Principles, Algorithms and Aplications, Prentice Hall, 2007.

Literatura uzupełniająca

1. Rudy van de Plassche: Integrated Analog-to-Digital and Digital-to-Analog Converters, Kluwer Academic Publishers, Boston,1994.
2. Smith S.W.: Digital Signal Processing: A Practical Guide for Engineers and Scientists, Newnes,2002.
3. www.sensirion.com.
4. www.analog.com.

Uwagi

Zmodyfikowane przez dr hab. inż. Radosław Kłosiński, prof. UZ (ostatnia modyfikacja: 29-03-2018 22:35)