8/14/2017 Introducing IIA1217-Hard/Soft Sensors in Process Measurements 1
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1 8/14/2017 Introducing 1
2 IIA1217-Hard/Soft Sensors in Process Measurements Håkon Viumdal Associate Professor Department of Electrical Engineering, IT and Cybernetic Faculty of Technology, Natuaral Sciences and Maritime Sciences 8/14/2017 2
3 Hard/Soft Sensors in Process Measurements Responsible Staff Saba Mylvaganam Håkon Viumdal Student Assistant PhD Research Fellow Khim Chhantyal Lab Engineers Fredrik Hansen Per Kristian Fylkesnes 8/14/2017 3
4 COURSE DESCRIPTION Study plan for Master of Science, Industrial IT and Automation: Subject plan for Hard/Soft Sensors in Process Measurement IIA1217 Hard/Soft Sensors in Process Measurements 10 ECTS (workload distributed over 2 semesters autumn 2018 and spring 2019)
5 Required reading Autumn 2018 (Mainly Hard Sensors) Wheeler, A.J & Ganji, A. R. (2010) Introduction to engineering experimentation 3rd Boston Pearson Spring 2019 (Mainly Soft Sensors until end of April then HS/SS) Siddique, N. & Adeli, H (2013) Computational intelligence : synergies of fuzzy logic, neural networks and evolutionary computing Chichester Wiley Selected papers, videos and webinars depending on the current developments
6 Content HARD SENSORS Sensors Measurement systems Signal processing Data acquisition systems Statistical Analysis of experimental data Planning and documenting experiments Experimental uncertainty analysis MEASURANDS STRAIN DISPLACEMENT LINEAR VELOCITY ANGULAR VELOCITY ACCELERATION AND VIBRATION FORCE PRESSURE TEMPERATURE HUMIDITY FLOW RATE FLUID VELOCITY FLUID LEVEL ETC.
7 Content SOFT SENSORS Computational intelligence Fuzzy logic Neural network Neural fuzzy systems Support Vector Machines PROGRAMMING NI LABVIEW MATLAB ARDUINO DELTA V
8 IIA1217- Learning Outcomes - KNOWLEDGE the standard terminology of sensors (both hard and soft), measurements and instrumentation with respect to a set of measurands the functional principles and ideas of modern sensors and associated signal processing how the sensors are central in any system for its function and control and hence the need for a careful selection of sensor portfolio Overview of different modules in a system with sensors for measurement and control how to use sensors and actuators in a system and describe their layout using standard P&ID and flow diagrams
9 IIA1217- Learning Outcomes - KNOWLEDGE multi sensor data fusion (Information fusion) and the convergence of computing, communication, measurements big data (velocity, variety and volume of data) and technology behind games basic concepts of wired/wireless sensor networks how to develop soft sensors (soft computing, inferential methods) using neural networks, fuzzy logic, support vector machines and relate these methodologies to other subjects in the Master of Science, Industrial IT and Automation how to implement these concepts in hardware and how to develop software to realize a working system
10 IIA Learning Outcomes - GENERAL COMPETENCE The candidate will be able to communicate/discuss with peers problems related to hard/soft sensors in process measurements, to troubleshoot sensor/actuator systems to develop, test and tune soft sensors to report findings/conclusions of his/her work in writing using standard terminology and diagrams
11 IIA Learning & Teaching Forms Learning/teaching will be based on lectures, exercises, and the use of relevant software visit to relevant industries and guest lectures on-line resources mandatory intermediate assignments with elements of PBL (Problem Based Learning) using group case-projects with oral presentations and/or mid-term tests
12 IIA Evaluation Continuous assessment All mandatory exercises and assignments must be graded as passed in order to participate in the final exam. Grades (A-F) with F-fail will be based on final written exam (60%) mandatory assignments (distributed over two semesters): 6 assignments (2 group works and 4 individual works) 2 case projects (group work). We reserve the rights for making any changes to the contents and plans.
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