The Instrumentation course provides students with a comprehensive understanding of the principles, design, and application of instruments used for measurement, control, and automation in various industries. This course covers the theory and practical aspects of sensors, transducers, signal conditioning, data acquisition systems, and control systems. Students will gain hands-on experience in working with instruments commonly used in industries such as manufacturing, energy, process control, and automation.
Learning Objectives: By the end of this course, students should be able to:
- Understand the basic concepts of instrumentation, including measurement systems, sensors, and actuators.
- Identify and explain the principles of various types of instruments used for specific measurements.
- Design and apply circuits for signal conditioning, amplification, and filtering.
- Analyze and interpret signals from data acquisition systems.
- Use different types of controllers in automated systems and understand their role in industrial automation.
- Gain practical experience in calibration and maintenance of instruments.
- Integrate instrumentation systems with computer-based control and monitoring systems.
Course Content:
- Introduction to Instrumentation:
- Overview of instrumentation and its role in industrial systems.
- Types of measurements and measurement systems.
- Sensors and Transducers:
- Types of sensors (temperature, pressure, flow, level, etc.).
- Transducer characteristics and selection criteria.
- Signal Conditioning and Processing:
- Amplification, filtering, and analog-to-digital conversion.
- Error analysis and compensation techniques.
- Data Acquisition Systems:
- Data sampling, acquisition, and storage.
- Real-time monitoring and control.
- Control Systems:
- Feedback and open-loop systems.
- PID controllers and their implementation.
- Instrumentation Calibration and Maintenance:
- Calibration techniques and procedures.
- Troubleshooting and maintenance of instruments.
- Industrial Applications:
- Instrumentation in process control and automation.
- Case studies from industries such as chemical, petrochemical, and manufacturing.
Course Prerequisites: Basic knowledge of electrical engineering, circuit theory, and control systems is recommended.
Assessment Methods:
- Written exams on theoretical knowledge.
- Practical lab work and projects involving real-life instrumentation systems.
- Case studies and problem-solving exercises.
Target Audience: This course is suitable for engineering students specializing in electrical, mechanical, or control systems engineering, as well as professionals seeking to enhance their knowledge in instrumentation and automation systems.