Admissions

EE561: Industrial Instrumentation

EE561

To provide the practical aspects of implementing instrumentation systems and advanced techniques used in instrumentation.

NO. OF CREDITS: 3
COMPULSORY/OPTIONAL: OPTIONAL
PREREQUISITES: EE251, EE254

MAIN TOPICS AND INTENDED LEARNING OUTCOMES

TOPICS

Supervisory Control and Data Acquisition Systems (SCADA)
Principles of Data Acquisition (DAQ) systems
State estimation techniques in instrumentation
Sensor fusion
Sensor Networks
Smart sensors
Intelligent Instruments

Student will be able to,

ILO1: Design Supervisory Control and Data Acquisition (SCADA) systems.
ILO2: Develop instrumentation systems using Data Acquisition (DAQ) hardware and software.
ILO3: Apply techniques in signal processing, estimation and intelligent systems to develop advanced instrumentation systems.

 

NO RECOMMENDED TEXT
1 G. Clarke, Practical Modern SCADA Protocols, Elsevier, 2004
2 Dargie, W., Poellabauer, C., Fundamentals of wireless sensor networks: theory and practice, Wiley, 2010
3 R.R. Brooke, Multi-Sensor Fusion, Prentice Hall, 1997
4 R.O. Duda, Pattern Classification, Wiley, 2001
5 Y. Bar-Shalom, T. Kirubarajan, Estimation with applications to tracking and navigation, Wiley, 2001.
6 LABVIEW User Manual, National Instruments, 1998.
TIME ALLOCATION HOURS
Lectures 30
Tutorials 0
Assignments 0
Laboratories 30
ASSESMENT PERCENTAGE
Assignments -
Laboratory Work 30
MID Semester Evaluation 30
END Semester Exam 40
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