Course Details

Objective

By the end of the course, participants will be able to:

• Differentiate between static and dynamic measurements and identify their industrial applications
• Understand the behavior of measurement systems under steady and varying conditions
• Select appropriate instruments and sensors for specific applications
• Apply calibration techniques and uncertainty analysis to measurement systems
• Design or evaluate measurement setups and facilities for performance and compliance
• Interpret measurement data and troubleshoot measurement system error.

Content

Day 1:

Fundamentals of Measurement

• Module 1: Introduction to Measurement Principles
  • Purpose and importance of measurement in engineering
  • Definitions: accuracy, precision, resolution, sensitivity, range
  • Static vs. dynamic measurements overview

• Module 2: Measurement System Components
  • Sensors and transducers
  • Signal conditioning devices
  • Data acquisition systems (DAQ)
  • Analog vs. digital measurement systems

Day 2:

Static Measurements

• Module 3: Static Measurement Techniques
  • Characteristics of static systems
  • Steady-state pressure, temperature, flow, level, and displacement measurements
  • Sensor selection criteria for static applications

• Module 4: Calibration of Static Systems
  • Calibration procedures and standards (ISO/IEC 17025, NIST)
  • Manual vs. automated calibration
  • Reference instruments and traceability
  • Practical exercise: static calibration process

Day 3:

Dynamic Measurements

• Module 5: Understanding Dynamic Behavior
  • First and second-order system response
  • Transient vs. oscillatory inputs
  • System lag, damping, bandwidth, and rise time

• Module 6: Dynamic Measurement Techniques
  • Measurement of vibration, pulsation, dynamic pressure, and temperature
  • High-speed data acquisition
  • Filtering and signal processing techniques
  • Sensor considerations for dynamic applications

Day 4:

Error, Uncertainty, and Data Interpretation

• Module 7: Measurement Errors and Uncertainty
  • Types of measurement errors (systematic, random, gross)
  • Uncertainty estimation and propagation
  • Statistical analysis in measurement

• Module 8: Data Logging and Analysis
  • Logging tools and software
  • Time-series analysis and FFT for dynamic data
  • Case studies: interpreting measurement results

Day 5:

Measuring Facilities and Applications

• Module 9: Design and Operation of Measuring Facilities
  • Flow loops, calibration benches, test rigs
  • Environmental control for lab vs. field measurements
  • Safety considerations in high-pressure/high-temperature testing

• Module 10: Industry Applications and Case Studies
  • Oil & gas custody transfer systems (static flow metering)
  • Rotating equipment monitoring (dynamic vibration and pressure)
  • Laboratory vs. field measurement challenges

NOTE:

Pre & Post Tests will be conducted

Case Studies, Group Exercises, Group Discussions, Last Day Review & Assessments will be carried out.

Methodology

A highly interactive combination of lecture and discussion sessions will be managed to maximize the amount and quality of information, knowledge and experience transfer. The sessions will start by raising the most relevant questions, and motivate everybody finding the right answers. The attendants will also be encouraged to raise more of their own questions and to share developing the right answers using their own analysis and experience.

All attendees receive a course manual as a reference.

This interactive training workshop includes the following training methodologies

30% Lectures

30% Workshops and work presentation

20% Group Work & Practical Exercises

20% Videos & General Discussions