Title:

Sensor Information Systems

Code:QT9
Ac.Year:ukončen 2003/2004
Term:Winter
Language of Instruction:Czech
Completion:examination (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:390000
 ExamsTestsExercisesLaboratoriesOther
Points:1000000
Guarantor:Rampl Ivan, doc. Ing., CSc. (UTKO)
Lecturer:Rampl Ivan, doc. Ing., CSc. (UTKO)
Faculty:Faculty of Electrical Engineering and Communication BUT
Department:Department of Telecommunications FEEC BUT
 
Learning objectives:
  The main aim of this subject is to make PhD students familiar with modern measuring and control technologies inclusive of the methods of transmission, processing and exploitation of the data obtained.
Description:
  Properties and distribution of sensors according to physical principles. Technical parameters of sensors. Sensor signal gathering and processing. Classification of sensor signals. Semiconductor and microelectronic sensors. SMART sensors. Sensor system distribution. Centralized and decentralized system of the measuring strings. Laboratory measuring systems. Measuring systems for industrial purposes. Distributed industrial sensor systems. Measuring system programming. Virtual measuring systems. Distributed industrial I/O systems. Introduction to technical diagnostics. Fuzzy logic and neural networks and their utilization in technical diagnostics.
Learning outcomes and competences:
  The PhD students will obtain an overview on the elements and communication systems used in the laboratory and industrial measuring practice. They will become acquainted with industrial distributed I/O systems and the respective technology. They will learn to use virtual instrumentation, inclusive of the development of their own proposals of virtual measuring systems. The study is completed by an introduction to technical diagnostics.
Syllabus of lectures:
 
  1. Distribution of sensors, technical parameters. The methods of reducing sensor faults.
  2. Sensor signal gathering and processing. Semiconductor and microelectronic sensors. SMART sensors.
  3. Distribution of sensor systems. Centralized and decentralized system of measuring strings.
  4. Laboratory measuring systems.
  5. Measuring systems for industrial use. Measuring systems for high sampling rates.
  6. Distributed industrial sensor systems. Network topology. Measuring protocols.
  7. Fundamental types of industrial sensor systems. PROFIBUS, BITBUS, INTERBUS-S, CAN, DIN-MESSBUS.
  8. Measuring system programming. Virtual measuring systems.
  9. Introduction to G programming. The LabVIEW development system.
  10. Distributed industrial I/O systems. I/O system technology equipment.
  11. Introduction to technical diagnostics. Modelling and simulation.
  12. Diagnostic methods for electronic circuit production.
  13. Theory of fuzzy logic and neural networks and their application in technical diagnostics.
 

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