Pideya Learning Academy

Measurement and Control in Process Operations

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
27 Jan - 31 Jan 2025 Live Online 5 Day 2750
31 Mar - 04 Apr 2025 Live Online 5 Day 2750
28 Apr - 02 May 2025 Live Online 5 Day 2750
02 Jun - 06 Jun 2025 Live Online 5 Day 2750
28 Jul - 01 Aug 2025 Live Online 5 Day 2750
29 Sep - 03 Oct 2025 Live Online 5 Day 2750
20 Oct - 24 Oct 2025 Live Online 5 Day 2750
08 Dec - 12 Dec 2025 Live Online 5 Day 2750

Course Overview

In today’s interconnected and performance-driven industrial environment, accurate measurement and control of process parameters are not just technical requirements—they are strategic imperatives. Whether in oil & gas, chemical processing, manufacturing, or power generation, the ability to maintain optimal process conditions through reliable instrumentation and well-configured control systems directly impacts productivity, safety, and profitability. The Measurement and Control in Process Operations course offered by Pideya Learning Academy addresses this critical need by equipping professionals with a robust foundation in industrial instrumentation, sensor technologies, and process control strategies.
With industrial automation becoming a cornerstone of operational success, the global market for process automation and instrumentation is projected to reach USD 91.0 billion by 2025, growing from USD 71.4 billion in 2020, according to MarketsandMarkets. This growth reflects the accelerating adoption of Industry 4.0 principles, the increasing importance of real-time process analytics, and the rising demand for improved energy efficiency and system integrity. In such a dynamic landscape, professionals with strong expertise in measurement and control systems are instrumental in bridging the gap between operational theory and field reliability.
This intensive program by Pideya Learning Academy delves into the core elements of process measurement and control with structured modules designed to impart deep technical insight. Participants will explore the operating principles and characteristics of various industrial sensors—covering temperature, pressure, flow, level, and strain—and understand how these inputs feed into modern control systems. Special attention is given to signal conditioning, sensor calibration, and interpretation of real-time measurement data, ensuring that participants build a comprehensive understanding of how raw data is converted into actionable intelligence for process decision-making.
A central component of the course is the detailed study of control strategies, with a focused segment on the configuration and tuning of Proportional-Integral-Derivative (PID) controllers. These controllers are integral to maintaining process stability in diverse industrial settings. The training ensures that participants grasp the dynamics of feedback systems, control loop optimization, and the challenges associated with nonlinearities, time delays, and disturbances in process environments.
Moreover, the course integrates up-to-date concepts such as non-intrusive measurement technologies like ultrasonic and infrared sensing, preparing learners to work with modern instrumentation systems. Participants will also engage with industrial codes and standards to ensure their knowledge aligns with global best practices. Through case-based discussions and structured learning pathways, learners will be encouraged to critically assess instrumentation setups, troubleshoot performance issues, and recommend improvements that align with operational goals.
By enrolling in the Measurement and Control in Process Operations course, professionals can expect a training experience that:
Offers comprehensive coverage of fundamental and advanced principles in process measurement and control.
Provides a detailed exploration of sensor technologies and signal conditioning techniques relevant to modern industry.
Enhances understanding of PID control system configuration, interpretation, and tuning for optimized performance.
Promotes the use of real-time data interpretation for proactive decision-making and reduced operational risk.
Introduces non-invasive measurement methods that support plant safety and system integrity.
Encourages familiarity with global standards and regulatory requirements, improving compliance and audit readiness.
Develops a strategic perspective on measurement systems, emphasizing the link between instrumentation reliability and business performance.
By the conclusion of this course, participants will be able to make more informed decisions around instrumentation selection, control loop optimization, and system diagnostics—key elements that contribute to operational excellence in any industrial setting. The course not only builds technical competence but also strengthens the confidence to contribute effectively to multidisciplinary teams involved in system design, troubleshooting, and performance enhancement.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn:
The principles and operating characteristics of various industrial sensors and transducers.
The methods for measuring key process variables such as temperature, pressure, flow, and level.
How to analyze sensor data and understand signal conditioning requirements.
The fundamentals of process control systems, including open-loop and closed-loop strategies.
The configuration, interpretation, and tuning of PID control systems for process optimization.
Techniques for evaluating and improving measurement accuracy and system response.
How to apply instrumentation and control knowledge to troubleshoot and enhance industrial operations.

Personal Benefits

Participants will gain:
A solid foundation in the principles of industrial measurement and control systems.
Confidence in configuring and interpreting sensor and control systems.
Practical skills in analyzing process data and optimizing control loop performance.
Expanded technical vocabulary and understanding of modern instrumentation.
Ability to contribute more effectively to engineering, operations, and maintenance teams.
Recognition as a valuable asset in technical and engineering roles.

Organisational Benefits

Organizations that nominate personnel for this training can expect the following advantages:
Enhanced technical competency in process measurement and control systems.
Improved process reliability through better understanding of instrumentation setups.
Reduction in operational downtime and maintenance costs.
Stronger compliance with industry standards and regulatory requirements.
Capability to implement cost-saving measures through accurate control systems.
Empowerment of staff to independently diagnose and resolve instrumentation issues.

Who Should Attend

This training program is ideal for professionals involved in industrial measurement and control systems, including but not limited to:
Electrical, Mechanical, and Chemical Engineers and Technicians
Instrumentation Technicians and Engineers
Operations Engineers and Maintenance Technicians
System Integrators and Automation Professionals
Electronic Design Engineers and Instrument Fitters
Production Supervisors and Process Control Specialists
Any professionals working in process industries requiring foundational or advanced understanding of instrumentation and control techniques

Course Outline

Module 1: Fundamentals of Measurement and Instrumentation
Overview of industrial measurement systems Classification of sensors and transducers Key terminology in instrumentation systems Accuracy and Maximum Error Hysteresis and Linearity Sensitivity and Resolution Span and Dynamic Range Response Time and Repeatability Industrial examples of sensor applications Introduction to instrumentation signal types
Module 2: Understanding Process Variables
Classification of physical and chemical variables Measurement of Mass Flow and Volumetric Flow Rate Fundamentals of Pressure Measurement Viscosity and Density as process indicators Turbidity and its industrial significance Challenges in dynamic process variable monitoring
Module 3: Strain and Stress Measurement Technologies
Fundamentals of stress, strain, and deformation Young’s Modulus and material elasticity Tension and compression force detection Overview of strain gauge principles Configuration and installation of strain sensors Application examples in structural health monitoring
Module 4: Techniques for Accurate Pressure Measurement
Static and dynamic pressure concepts Mechanical pressure measurement elements Diaphragms and Bellows Bourdon Tubes Capacitive and Piezoelectric pressure sensors Fibre optic pressure transduction Selection criteria for pressure measurement devices
Module 5: Flow Measurement Principles and Technologies
Concept of Reynolds Number and flow regimes Differential pressure-based flow measurement Orifice Plates, Venturi Tubes, Flow Nozzles Dall Tubes and Pitot Tubes Coriolis mass flow meters Electromagnetic flow meters: theory and usage Invasive vs. non-invasive flow measurement techniques Flow sensor calibration and installation best practices
Module 6: Temperature Measurement and Sensing Devices
Temperature scales and units of measurement Working principles of common temperature sensors Thermocouples Resistance Temperature Detectors (RTDs) Thermistors Infrared and Radiation Pyrometers Accuracy and drift in temperature sensors Industrial applications and environmental considerations
Module 7: Liquid Level Detection and Measurement Techniques
Continuous and point level measurement approaches Direct vs. indirect level measurement technologies Ultrasonic and Radar level sensing methods Capacitive and pressure-based level sensors Float, Displacer, and Conductive level devices Calibration and performance tuning for level systems
Module 8: Ultrasonic and Non-Invasive Sensing Technologies
Fundamentals of ultrasonic wave propagation Doppler Effect and Transit-Time principles Ultrasonic flowmeters for clean and dirty liquids Benefits and limitations of non-intrusive sensors Cross-comparison with electromagnetic flow systems Installation and signal processing for non-contact sensors
Module 9: Essentials of Process Control Engineering
Basics of automation and process control systems Control loop architecture and block diagram modeling Servomechanisms and system regulators Comparison of open-loop and closed-loop systems Transfer functions of first and second-order systems Negative feedback and system stability concepts
Module 10: Control Strategies and Tuning Fundamentals
Discrete and continuous control actions On/Off and Two-position controllers Proportional control: gain and band concepts Integral action and reset function Derivative control and rate adjustments Avoiding offset and managing integral windup PID Controller overview and applications
Module 11: Advanced PID Controller Tuning Techniques
Empirical controller tuning methods Open loop tuning: Process Reaction Curve (Ziegler-Nichols) Closed loop tuning: Continuous Cycling Method Setting default vs. optimized control parameters Fine-tuning techniques for stable performance Stability and performance metrics in closed-loop systems
Module 12: Sensor Signal Conditioning and Integration
Signal conditioning fundamentals Analog vs. digital signal processing Filtering, amplification, and noise reduction Interfacing sensors with control systems Data acquisition and system integration Application: conditioning output from level measurement systems
Module 13: Design and Implementation of Measurement Systems
Designing a strain gauge-based measurement system Building a liquid level sensing system Calibration procedures and system validation Control loop testing and response analysis Troubleshooting instrumentation and control circuits

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