electrical , industrial instrumentation and control

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  • M.Tech Programme

    Electrical Engineering- Industrial Instrumentation and Control

    Curriculum and Scheme of Examinations

    SEMESTER I

    Code

    No.

    Name of Subject

    Credits Hrs /

    week

    End

    Sem

    Exam

    (hours)

    Marks Remarks

    Internal

    Continuous

    Assessment

    End

    Semester

    Exam

    Total

    EIM

    1001

    Advanced Engineering Mathematics

    3

    3

    3

    40 60 100

    Of the 40 marks of internal

    assessment, 25 marks for

    tests and 15 marks for

    assignments. End sem

    exam is conducted by the

    University

    EIC

    1001

    Transducers and Measurements

    3 3 3 40 60 100 Do

    ECC

    1003 Dynamics of Linear Systems

    3 3 3 40 60 100 Do

    EIC

    1002 Advanced Signal Processing

    3 3 3 40 60 100 Do

    EIC

    1003

    Process Dynamics and Control

    3 3 3 40 60 100 Do

    EIC

    1004

    Communication Protocol for Instrumentation

    3 3 3 40 60 100 Do

    EIC

    1101

    Instrumentation

    And Control Lab I

    1 2 - 100 -

    100 No End Sem Examinations

    EIC

    1102 Seminar 2 2 - 100

    - 100 Do

    TOTAL 21 22 440 360 800 7 Hours of Departmental

    assistance work

  • SEMESTER II

    Code No.

    Name of Subject

    Credits

    Hrs / week

    End Sem

    Exam

    Hours

    Marks

    Remarks

    Internal Continuous

    Assessment

    End

    Semester Exam

    Total

    EIC 2001

    Digital Control Theory

    3 3 3 40 60 100

    Of the 40 marks of internal assessment, 25 marks for tests and 15 marks for assignments. End sem exam is conducted by the University

    EIC 2002

    Industrial Automation

    3 3 3 40 60 100 Do

    ** Stream Elective I

    3 3 3 40 60 100 Do

    ** Stream Elective II

    3 3 3 40 60 100 Do

    ** Department Elective

    3 3 3 40 60 100 Do

    ECC2000

    Research Methodology

    2 2 3 40 60 100 End Sem Exam is conducted by the

    Individual Institutions

    EIC 2101

    Instrumentation And Control Lab II

    1 2 - 100 100 No End Sem Examinations

    EIC 2102

    Seminar 2 2 - 100 100 do

    EIC 2103

    Thesis Preliminary Part I

    2 2 - 100 100 do

    TOTAL 22 23 --- 540 360 900

    6 Hours of Departmental

    assistance work

  • STREAM ELECTIVE I

    EIE2001 Industrial Management

    EIE2002 Process Control System Components

    EIE2003 Analog And Digital Instrumentation

    EIE2004 Analytical Instrumentation

    EIE2005 Adaptive Control Systems

    STREAM ELECTIVE II

    EIE2006 Fuzzy Logic Neural Network And Control

    EIE2007 Artificial Intelligence

    EIE2008 Communication Networks

    EIE2009 Advanced Micro-controller Applications

    ECC2002 Non Linear Control System

  • List of Department Electives

    ECD2001 Industrial Data Networks

    ECD2002 Process Control and Industrial Automation

    ECD2003 Soft Computing Techniques

    ECD2004 Embedded Systems and Real-time Applications

    ECD2005 Biomedical Instrumentation

    EPD2001 New and Renewable Source of Energy

    EPD2002 SCADA System and Application

    EMD2001 Electric and Hybrid Vehicles

    EDD2001 Power Electronics System Design using ICs

    EDD2002 Energy auditing conservation and Management

    EDD2003 Advanced Power System Analysis

    EDD2004 Industrial Automation Tools

    EID2001 Advanced Microprocessors and Microcontrollers

    EID2002 Modern Power Converter

    EID2003 Power Plant Instrumentation

    EID2004 Advanced Control System Design

    EID2005 Multivariable Control Theory

  • SEMESTER III

    Code

    No.

    Name of Subject

    Credit Hrs /

    week

    End

    Sem

    Exam

    (hours)

    Marks Remarks

    Continuous

    Assessment

    End

    Semester

    Exam

    Total

    **

    Stream Elective III 3 3 3 40 60 100

    End Sem Exam is

    conducted by the

    Individual Institutions

    ** Stream Elective IV 3 3 3 40 60 100 Do

    ** Non- Dept.

    (Interdisciplinary)

    Elective 3 3 3 40 60 100 Do

    EIC

    3101

    Thesis Preliminary

    Part II 5 14 - 200 200 No End Sem Examinations

    TOTAL 14 23 320 180 500

    6 Hours of Departmental

    assistance work

  • STREAM ELECTIVE III

    ECE3001 Robust Control

    EIE3002 Advanced Digital System Design

    EIE3003 CAD For Digital Control

    EIE3004 Optimal Control Systems

    EIE3005 Instrumentation in Petrochemical Industries

    STREAM ELECTIVE IV

    EIE3006 Intelligent Instrumentation

    EIE3007 Optical Instrumentation

    EIE3008 Virtual Instrumentation

    EIE3009 Fibre Optics And Laser Instrumentation

    EIE3010 AI Application In Optimisation

  • SEMESTER IV

    Code

    No

    Subject

    Name

    Credits Hrs/

    week

    Marks

    Continuous

    Assessment University Exam

    Total Guide

    Evaluation

    Committee

    Thesis

    Evaluation

    Viva

    Voce

    EIC

    4101 Thesis 12 21 150 150 200 100

    600

    TOTAL 12 21 150 150 200 100

    8 Hours of Departmental

    assistance work

  • EIM1001 ADVANCED ENGINEERING MATHEMATICS

    Structure of the course

    Lecture : 3 hrs/week Credits: 3 Internal Continuous Assessment : 40 Marks End Semester Examination : 60 Marks

    Course Objective

    To understand about various mathematical techniques, analyze the mathematical model using mathematical analysis, implement a variety of problem-solving and optimisation strategies

    Learning Outcomes

    Upon successful completion of this course, students will be able to apply various transformation techniques and vector spaces.

    Module I

    Probability Distribution, Binomial, Poisson and Hyper geometric Distribution, Normal Distributions, Distribution of several random variables, statistical methods, sampling g distributions- normal, students distribution, chi square distribution, F distribution, Estimation of Parameters.

    Module II

    Discrete Fourier Transforms, Fast Fourier transforms, wavelet transforms, Analytical function Taylor series, Laurents series and Problems, conformal transformation Jon Kowski and Schwarz - Christofer transformation, vector space, Inner Product spaces, Linear transformation

    Module III

    Optimization methods local and global minima, line search methods steepest descent conjugate gradient method, Solution of Linear algebraic equations gauss elimination method, Lu decomposition method, Jacobis and Gauss Seidel iterative methods.

    References

    1. Erwing Kreyszig, Advanced Engineering Mathematics, Wiley Publications, 2007. 2. S. S. Rao, Optimization Methods, Prentice Hall India, 1994. 3. Gupta S. C., V.K. Kapoor, Fundamentals of Statistics, New Age International, Third Edition,

    1996 4. G. Shanker Rao, Linear Algebra, I. K. International Publishing House Pvt. Ltd., 2011 5. B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers, New Delhi, 1998.

    Structure of the Question paper

    For the end semester examination, the question paper will consist of three questions from each module out of which two questions are to be answered by the students

  • EIC1001 TRANSDUCERS & MEASUREMENTS

    Structure of the course Lecture : 3 hrs/week Credits: 3 Internal Continuous Assessment : 40 Marks End Semester Examination : 60 Marks

    Course Objective

    To understand about various transducers and sensors used in Industry. Analyze various types of transducers and their principle of operation. Understand about signal conditioning techniques.

    Learning Outcomes

    Upon successful completion of this course, students will be able to choose transducers and sensors and their types, usage and operation and different characteristics of transducers.

    Module I

    General concepts and terminology of measurement systems- Functional Elements of a measurement system, Methods of measurement. Generalised mathematical model of measurement system. Transducers-definition, classification-analog and digital transducer- primary and secondary transducer-active and passive transducer, Resistive, Inductive, Capacitive transducers, factors influencing choice of transducers. Static and Dynamic characteristics of transducers.

    Module II

    Temperature (design aspects), Pressure, Flow, Level measurement techniques, pH and conductivity sensors, Piezoelectric, Ultrasonic, Hall effect transducers, Magnetostrictive, Electromagnetic transducers. Concepts of smart/Intelligent transducers.

    Module III

    Signal Conditioning Techniques, Data acquisition systems block diagram, data transmission, methods of data transmission, Telemetry Systems. Error Analysis: Errors, types of errors, error analysis, methods, statistical analysis of measurement data. Probability of errors. Signal Display/Recording systems, Graphic display systems. Cathode ray oscilloscope and its applications.

  • References

    1. Doeblin E. O., Measurement Systems, McGraw-Hill, 1990 2. Patranabis D., Sensors and Transducers, Wheeler Publishing Company, New Delhi,

    2002. 3. Moorthy D. V. S., Transducers and Instrumentation, PHI, New Delhi, 2004 4. Renganathan S., Transducers Engineering, Allied Publishers, Chennai, 2003 5. Alan S. Morris, Principles of Measurement and Instrumentation, PHI, 2011 6. B.G, Liptak, Hand