Course Objectives:

By the end of this course, participants will:

1. Understand the principles, functions, and applications of online process analyzers in industrial environments.
2. Learn best practices for designing and integrating online analyzer systems into process operations.
3. Gain expertise in selecting, calibrating, and maintaining online analyzers for continuous monitoring.
4. Develop skills in designing sampling systems, data transmission networks, and automation integration.
5. Enhance their ability to implement effective troubleshooting and optimization strategies for online analyzers.

Course Syllabus:

Day 1: Fundamentals of Online Analyzers

1. Introduction to Online Process Analyzers
2. Types of Online Analyzers and Their Applications
3. Principles of Measurement and Detection Technologies
4. Workshop: Identifying the Right Online Analyzer for Specific Industry Applications

Day 2: Designing Online Analyzer Systems

1. Principles of Online Analyzer System Design
2. Sample Conditioning and Sampling Systems
3. Integration with Process Control Systems
4. Case Study: Designing an Online Analyzer System for a Refinery or Chemical Plant

Day 3: Calibration, Maintenance, and Troubleshooting

1. Calibration and Validation of Online Analyzers
2. Routine and Preventive Maintenance Strategies
3. Common Analyzer Issues and Fault Diagnosis
4. Workshop: Performing Calibration and Maintenance Procedures on Online Analyzers

Day 4: Data Communication, Compliance, and Safety

1. Data Management and Communication Networks
2. Regulatory and Compliance Considerations
3. Explosion-Proof and Hazardous Area Design Considerations
4. Workshop: Designing a Safe and Compliant Online Analyzer Installation

Day 5: Advanced Topics, Optimization, and Capstone Project

1. Advanced Optimization Techniques for Online Analyzers
2. Remote Monitoring and Industrial IoT Applications
3. Capstone Project: Designing and Presenting a Complete Online Analyzer System. “Participants create a comprehensive online analyzer design for a simulated process”.