BE3273 Syllabus - Basic Electrical, Electronics Engineering and Measurements Laboratory - 2021 Regulation Anna University

BE3273 Syllabus - Basic Electrical, Electronics Engineering and Measurements Laboratory - 2021 Regulation Anna University

BE3273

BASIC ELECTRICAL, ELECTRONICS ENGINEERING AND MEASUREMENTS LABORATORY

 LTPC
0042

COURSE OBJECTIVES:
• To train the students in conducting load tests on electrical machines
• To gain practical experience in characterizing electronic devices
• To train the students to use DSO for measurements

LIST OF EXPERIMENTS:

ELECTRICAL
1. Verification of ohms and Kirchhoff’s Laws.
2. Load test on DC Shunt Motor.
3. Load test on Self Excited DC Generator
4. Load test on Single phase Transformer
5. Load Test on Induction Motor

ELECTRONICS
6. Experiment on Transistor based application circuits (Inverting and non-inverting amplifier or switching circuits) (Or) Experiments on Operational Amplifier based Inverting and non-inverting amplifier.
7. Experiments on ADC.
8. Experiments on 555 timer

MEASUREMENTS
9. Study on function of DSO.
10. Measurement of Amplitude, Frequency, Time, Phase Measurement using DSO.

TOTAL : 60 PERIODS

COURSE OUTCOMES: After completing this course, the students will be able to
1. Use experimental methods to verify the Ohm’s and Kirchhoff’s Laws.
2. Analyze experimentally the load characteristics of electrical machines
3. Analyze the characteristics of basic electronic devices
4. Use DSO to measure the various parameters

Previous
Next

Comments

Post a Comment

Popular posts from this blog

CS3491 Syllabus - Artificial Intelligence And Machine Learning - 2021 Regulation Anna University

CS3491 Syllabus - Artificial Intelligence And Machine Learning - 2021 Regulation Anna University CS3491 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING  LTPC 3024 COURSE OBJECTIVES: • The main objectives of this course are to: • Study about uninformed and Heuristic search techniques. • Learn techniques for reasoning under uncertainty • Introduce Machine Learning and supervised learning algorithms • Study about ensembling and unsupervised learning algorithms • Learn the basics of deep learning using neural networks We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I PROBLEM SOLVING 9 Introduction to AI - AI Applications - Problem solving agents – search algorithms – uninformed
Read more

BE3251 - Basic Electrical and Electronics Engineering (Syllabus) 2021-regulation Anna University

BE3251 - Basic Electrical and Electronics Engineering (Syllabus) 2021-regulation Anna University BE3251 Basic Electrical and Electronics Engineering  LPTC 3003 COURSE OBJECTIVES: • To introduce the basics of electric circuits and analysis • To impart knowledge in the basics of working principles and application of electrical machines • To introduce analog devices and their characteristics • To educate on the fundamental concepts of digital electronics • To introduce the functional elements and working of measuring instruments We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I ELECTRICAL CIRCUITS 9 DC Circuits: Circuit Components: Conductor, Resistor, Inductor, Capacitor – Ohm’s Law - Kirchhoff’s Laws –Independent and Dependent Sources – Simple problems- Nodal Analysis, Mesh analysis with Independent sources only (Steady state) Introd
Read more

CS3401 Syllabus - Algorithms - 2021 Regulation Anna University

CS3401 Syllabus - Algorithms - 2021 Regulation Anna University CS3401 ALGORITHMS  LTPC 3024 COURSE OBJECTIVES: • To understand and apply the algorithm analysis techniques on searching and sorting algorithms • To critically analyze the efficiency of graph algorithms • To understand different algorithm design techniques • To solve programming problems using state space tree • To understand the concepts behind NP Completeness, Approximation algorithms and randomized algorithms. We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I INTRODUCTION 9 Algorithm analysis: Time and space complexity - Asymptotic Notations and its properties Best case, Worst case and average case analys
Read more