Embedded Files
Stay safe, mask up, sanitize and make India safe for everyone
MEDLO5012 - STATISTICAL TECHNIQUES
Modules
- Statistical Distributions
- Sampling theory
- Curve fitting and method of least squares
- Correlation and Regression
- Analysis of Variance (ANOVA)
- Statistical Decision Theory
Reference Books
Notes
- Module 1 - Statistical Techniques - PPT
- Module 2 - Sampling Distributions - I
- Module 2 - Sampling Distributions - II
- Module 3 - Curve Fitting - I
- Module 3 - Curve Fitting - II
- Module 4 - Correlation
https://www.slideshare.net/MeharSukhija1/correlation-and-its-types-ppt
https://www.slideshare.net/slideshow/meaning-and-types-of-correlation/250293948
https://www.slideshare.net/slideshow/correlation-analysis-86484062/86484062
https://www.slideshare.net/slideshow/pearsons-correlation/250692763
- Spearman Rank Correlation Coefficient
- Module 5 - ANOVA
- Module 6 - Statistical Decision Theory
- Final PPT
Statistical Techniques QP - MU Question Papers Industrial Electronics QP - CBCS/R-19 CBCGS
Objectives
- To study sensors and actuators
- To study control systems
- To study automation
Outcomes
- Demonstrate implementation of interfacing sensors and actuators using microcontrollers
- Demonstrate of interfacing various utilities with microcontrollers
- Demonstrate discrete control system using PLC microcontroller
- Design and develop a control system for specific use
- Implement program to PLC system and demonstrate its application
- Develop pneumatic circuits for a specific system
Outcomes of Laboratory
- Demonstrate implementation of interfacing sensors and actuators using microcontrollers
- Demonstrate of interfacing various utilities with microcontrollers
- Demonstrate discrete control system using PLC microcontroller
- Design and develop a control system for specific use
- Implement program to PLC system and demonstrate its application
- Develop pneumatic circuits for a specific system
- Study programming in Arduino UNO on live platforms like mobile robots
- Understand design and tuning of P, PD, PI and PID control for complex dynamical systems
- System identification of sensor
SUPPLEMENTARY RESOURCES
MEDLO5011 OPTIMIZATION TECHNIQUES
PDF - Lecture Slides (OT)
- Applications to Engineering
- Constrained Optimization
- Definition of constrained opt
- Example - Gear Meshing
- Example - Column design
- Constrained Optimization
- Column design (continued)
- Unconstrained Optimization
- f(X) = c
- Unconstrained Optimization
- Example - Mass - Spring - Damper
- Constrained Optimization
- Example - + definite of matrix
- Example - Cone Clutch
- Unconstrained Optimization
- Constrained Optimization
- Design of optimal track for avoiding steep slope, rapid acceleration and deceleration and to avoid jerks
- Examples - Match the column
- Classification of Optimization Problems
- Nature of design variables
- Based on physical structure
- Based on nature of equations
- Geometric
- Linear
- Nonlinear
- Quadratic
- Problem Solving - Single Variable Optimization (SVO) - Part I
- Problem Solving - Single Variable Optimization (SVO) - Part II
Nonlinear Optimization Techniques
- Lagrange Multiplier Method for solving OC
- Problem Solving of OC-Alternative Methods
- Direct Substitution
- Constrained Variation
- Kuhn-Tucker Method for solving OC
- Newton's Method for solving OC
- Modified Newton's Method to avoid diverging solutions
- Find f(X) = c is Convex or Concave
- Solved Problems in NLP using graphical approach
- Solved problems using Lagrangian Multiplier Method- PART I / PART II
- Unconstrained Nonlinear Optimization Techniques (out of syllabus)
Linear Optimization Techniques
- Problem solving in LP using graphical approach
- Solved problem of LP using Pivot method - PART I / PART II
- Simplex Method for LP
- BIG M Method for LP
- Integer Programming
- Branch - Bound - PART I / PART II
- Gomory Constraint
Multi-Criteria Decision Method (MCDM)
- Simple Additive Weighting (SAW)
- Analytical Hierarchy Process (AHP)
- Analytical Network Process (ANP)
- Weighted Product Method (WPM)
- TOPSIS
- PROMETHEE - 2
Introduction to Quadratic Programming
Geometric Programming
Solution to Quadratic Programming
Strain Gauges: Theory,Instrumentation and InstallationPrepared by Grzegorz Banas and Can SimsirSponsored : Newmark Structural Engineering LaboratoryDepartment of Civil & Environmental Engineering, UIUC
Self Temperature Compensation
Temperature compensation in SG using dummy gauge
STC Table for selection of gauge for testing
MEC502 MECHANICAL MEASUREMENTS AND CONTROLS
Supplementary Material
Supplementary Material
MEASUREMENTS
MEASUREMENTS
- PDF - Laboratory-Introduction - MP4 - PART I / PART II
- PDF - Theory-Measurements - MP4 - PART I / PART II
- Generalized Measurement System
- PDF - Fundamentals of Laboratory - MP4 - Lab Video
- Potentiometer for displacement measurement + Solved Problems
- LVDT - Theory and Applications + Solved Problems
- PDF - Theory - Error Analysis-Problems - MP4 - Effect of impedance on measurements/Error analysis
- PDF - Laboratory - LVDT (in Detail) - MP4 - PART I / PART II / PART III / PART IV
- PDF - Theory - Problems on LVDT + Error Analysis - MP4 - PART I / PART II / PART III
- PDF-Theory-Recap on LVDT + Potentiometer - MP4- PART I / PART II / PART III
- PDF-Laboratory - Videos-(LVDT + Potentiometer)-Strain Gauge Introduction - MP4-PART I / PART II / PART III
- PDF-Theory- Strain Gauge-Construction, Working and Need for Temperature Compensation - MP4-PART I / PART II / PART III
- PDF-Theory- Strain Gauge Temperature Compensation
- Temperature Coefficient of Strain Gauge
- Virtual Laboratory Link
- PDF - Theory - Strain Gauge - Mounting on specimen + Bridge Configuration for measurement of Bending, Axial, Torsional and Shear loading in materials
- MP4- Mounting of Strain Gauge - PART I
- MP4 - Bridge Configuration for measurement of various types of loading (axial, bending, torsional and shear) - PART II
- Unbonded Strain Gauge, Classification and Shunt Calibration of Strain gauges
- MP4 - Derivation of gauge factor for various bridge configurations - PART I
- MP4 - General steps to analyze the Wheatstone bridge circuit - PART II
- MP4 - Wheatstone Bridge (null /deflection type)
- MP4 - Problem Solving (Wheatstone Bridge)
- MP4 - DC Bridge / AC Bridge
- Calculation of accuracy and precision index, thermal/Johnson noise, significance of S/N ratio - PART I
- Calculation of limiting error (absolute and RMS) and probable error of mean (for infinite and finite readings)- PART II
- Calibration Process of a Instrument (Explained in detail)
- Practical Application - Potentiometer as a Fuel Gauge
- Laboratory- RPM Tachometer
- PDF - Uncertainty in Measurement Problem - Accuracy - MP4
- PDF - Uncertainty in Measurement Problems
- PDF - Temperature measurement
- Virtual Lab - Strain gauge and LVDT Sample calculation - PART I
- TinkerCAD - Simulating software for Arduino UNO circuits - PART II
Instructions for completion of MEC502 Project
- TinkerCAD for Arduino - Simulating platform for the Arduino UNO R3 Circuits
- Class link : https://www.tinkercad.com/joinclass/IME5EV9CCSWW
- Enter the Nickname your teacher assigned you (*Check the rules in the SIDE PANEL)
- PDF - Sensors & Transducers- Selection Criteria
- Modeling of Oven as a Feedback Control System - PART I / PART II
- PDF - Angular Measurement
- PDF - Acceleration and Flow Measurement
- Fundamentals of Piezoelectric and Notations - PART I
- Piezoelectric Accelerometer - Characteristics - PART II
- Seismic Accelerometer - Characteristics - PART I / PART II
- Significance of Flow measurement
- Flow measurement using Pitot Tube and Rotameter - PART I
- Flow measurement through pipes - PART I
- Orifice plate
- Nozzle Meter
- Venturimeter
- Application - Flow monitoring in composite aircraft wing / Residential Pipes in Buildings
- PDF - Signal Conditioning
- PDF - Temperature measurement
CONTROL SYSTEMS
CONTROL SYSTEMS
- PDF - Control Systems - Introduction - PART I
- Open loop and Closed loop
- Concept of transfer function
- Practical Examples (Block diagram representation of Actual Plant Model) - PART II
- Liquid level in Tank
- Bottle filling plant
- Virtual Lab - Study of static and dynamic characteristics of RTD and Thermocouple - PART I / PART II
- Block diagram reduction - RULES AND PROCEDURE - PART I / PART II
- Block diagram example (solved problem given below)
- Time domain representation of systems
- First Order Unit Ramp Response - PART I
- Steady state error - PART II
- System response (definition of TYPE and ORDER)
- Effect of K (controller) on First order system response - PART I
- Second order system unit step response performance parameters - PART II
- Peak Overshoot (% Mp)
- Steady state error (Ess)
- Delay time (Td)
- Peak time (Tp)
- Rise time (Tr)
- Settling time (Ts)
- Stability Analysis - Understanding stability of control system from POLE-ZERO plot - PART I / PART II
- Time domain performance specifications problem - PART I
Useful Resources for Quick Learning
Useful Resources for Quick Learning
Amplitude Modulation and Demodulation
Wheatstone Bridge
Johnson-Nyquist Noise
Potentiometer as a measuring circuit for Thermocouple
Thermocouple v/s RTD
MEC502 Project Report Format
The project report should contain the following1) Topic2) Authors with Roll No3) Description and Working4) Circuit Diagram5) Components and Specification sheets6) Measurements/ Testing of logic
Project report should be submitted via Google form
Ayaz.mp4Line following robot - Ayaz
Mounting kit for Strain Gauge
Type - Power of poles at origin (s = 0) in OLTF [G(s)H(s)]Order - Highest power of s in characteristic eqn.[Denominator of CLTF = G(s)/(1 +/- G(s)H(s))]
STC Curve for Constantan
Kadir.mp4Servo Motor - Kadir
Simulating platform for Arduino UNO R3 circuits
Login
Initials of your registered name in attendance sheet or CMSysNote :
a)If registered name like Shaikh Sajid has only 2 words, the nickname is ss0 because min 3 letters required.ZERO is added to initials
b)If registered name is repeated like "Khan Shadab Shamsul" and "Khan Shoeb Shamim"the nickname is kss22 and kss23 where 22 is roll noMMC Syllabus for Term Test-II
3.3 Temperature Measurement: Electrical methods of temperature measurement Resistancethermometers, Thermistors and thermocouples, Pyrometers3.5 Signal conditioning: Amplifier, Conversion, Filtering, Impedance Buffering, Modulation/ Demodulation, Linearization, Grounding and Isolation4.1 Introduction to control systems, Classification of control system. Open loop and closedloop systems.4.2 Mathematical modelling of control systems, concept of transfer function, Block diagramalgebra5.1 Transient and steady state analysis of first and second order system. Time Domainspecifications. Step response of second order system. Steady-state error, error coefficients,steady state analysis of different type of systems using step, ramp and parabolic inputs
Remedial Sessions for MMC
Remedial Sessions for MMC
28 Dec 2020 Generalized measurement systemExample - Bourdon Tube and Electrochemical Rain SensorError Analysis and Uncertainty
29 Dec 2020Problems in UncertaintyProblems in Steady state errorProblems in Time domain analysis
29 Dec 2020Problems in UncertaintyProblems in Steady state errorProblems in Time domain analysis
30 Dec 2020Frequency Response Analysis - Bode PlotSimple way of drawing Bode plot for OLTF
31 Dec 2020Drawing the phase plot in Bode diagramRoot locus - Theory and Problems in detail
31 Dec 2020Drawing the phase plot in Bode diagramRoot locus - Theory and Problems in detail
Page updated
Report abuse