Course Overview

Industrial power and process facilities depend on rapid, structured troubleshooting to maintain safe, stable, and efficient operations. Poor diagnostic practices can allow minor abnormalities to develop into major equipment failures, unplanned downtime, and significant production losses. A systematic troubleshooting approach is therefore essential for operational reliability and plant safety.

The Troubleshooting Process Operation programme by TransforMentors Academy equips participants with practical diagnostic frameworks, analytical tools, and decision-making techniques to identify, isolate, and resolve process and equipment failures effectively. The course covers structured troubleshooting methodologies, root cause analysis (RCA), instrumentation and control diagnostics, predictive monitoring techniques, and reliability-centred decision-making.

Through real-world case studies, hands-on exercises, and scenario-based learning, participants will explore instrumentation fault diagnosis, process behaviour analysis, alarm interpretation, system performance evaluation, and human-factor considerations during operational disturbances. The programme also emphasises fast, evidence-based decision-making under pressure to stabilise operations and prevent recurring failures.

Agenda

Day — 1 Understanding Process Systems in the Energy Sector

• Introduction to energy process systems used across power generation and industrial operations
• Reviewing the key roles of major equipment in process systems, including turbines, boilers, pumps, compressors, and generators
• Exploring common failure modes in critical power plant assets and their operational impact
• Understanding operational safety fundamentals in troubleshooting and process intervention environments
• Identifying key data sources used for troubleshooting, including sensors, SCADA systems, logs, and historian data
• Reviewing asset lifecycle concepts and their importance in modern maintenance and reliability management
• Linking system understanding to effective diagnostic decision-making in energy operations
• Exercise: Map a simplified power generation process and identify potential failure points and their operational consequences

Day — 2 Structured Diagnostics & Root Cause Analysis

• Understanding the principles of systematic troubleshooting in process operations and power plant environments
• Exploring core Root Cause Analysis (RCA) tools used in technical failure investigations, including:
  • 5 Whys technique for progressive cause identification
  • Fishbone (Ishikawa) diagrams for structured cause categorisation
  • Fault Tree Analysis (FTA) for logical failure decomposition and probability-based reasoning
• Applying structured approaches to distinguish between symptoms, contributing factors, and true root causes
• Reviewing proactive failure analysis techniques used to prevent recurrence of operational issues
• Examining instrumentation and control loop troubleshooting methods for identifying process instability and hidden faults
• Analysing real-world operational failures in power and process environments to strengthen diagnostic accuracy
• Integrating data-driven reasoning with field observations for improved decision-making under operational pressure
• Exercise: Diagnose a faulty control loop using provided trend data and identify root cause, contributing factors, and corrective actions

Day — 3 Smart Maintenance & Failure Prevention

• Understanding reliability principles essential for maintaining stability in process and power systems
• Exploring structured maintenance approaches for critical assets in industrial environments
• Reviewing predictive maintenance tools used in modern power and process industries, including condition monitoring systems
• Examining statistical and analytical techniques for detecting deviations and early failure indicators
• Integrating operational data (vibration, temperature, pressure, flow, and electrical signals) into intelligent maintenance decision-making
• Understanding how data-driven maintenance improves asset reliability, reduces downtime, and optimises lifecycle cost
• Linking predictive insights with maintenance planning and execution strategies for proactive failure prevention
• Exercise: Analyse simulated vibration data and determine the most appropriate maintenance action (continue operation, monitor closely, or schedule intervention)

Day — 4 Building Sustainable & Intelligent Maintenance Systems

• Understanding structured approaches for managing recurring operational failures in industrial systems
• Exploring the role of knowledge management in long-term maintenance and operational excellence
• Reviewing key performance indicators (KPIs) used to measure reliability, maintenance effectiveness, and asset performance
• Applying continuous improvement methodologies in maintenance operations, including:
  • PDCA (Plan–Do–Check–Act) cycles for iterative improvement
  • DMAIC (Define–Measure–Analyze–Improve–Control) for structured problem-solving and optimisation
• Examining how modern asset management frameworks support sustainable maintenance systems
• Integrating data-driven decision-making with reliability engineering principles for long-term performance improvement
• Strengthening organisational capability through learning, standardisation, and feedback systems
• Exercise: Develop a reliability improvement plan for a critical asset, incorporating KPIs, improvement actions, and monitoring strategy
• Key takeaways and course evaluation

Day — 5 Scenario Analysis & Action Plan Development

• Understand scenario analysis for complex operations
• Analyse relationships between key operational variables
• Assess process performance using scoring methods
• Identify risks, gaps, and improvement areas
• Combine technical and operational factors for full system understanding
• Develop clear action plans from scenario results
• Exercise: Create an action plan for a given operational scenario

Learning Outcomes

By attending the Troubleshooting Process Operation course, participants will be able to:

• Understand process system principles to support effective troubleshooting decisions in power and process facilities
• Identify early signs of equipment performance degradation and interpret operational data to determine root causes
• Apply structured Root Cause Analysis (RCA) techniques to resolve recurring failures and prevent future operational disruptions
• Evaluate control loop stability and instrumentation performance to detect hidden mechanical, electrical, or process abnormalities
• Assess maintenance strategies and reliability practices to enhance asset performance and extend equipment life
• Use predictive monitoring tools and condition-based trends to anticipate failures before they escalate
• Apply effective communication and sound decision-making during abnormal operating conditions to maintain plant stability
• Develop long-term improvement strategies that strengthen system reliability, maintenance effectiveness, and operational performance

Who Should Attend

The Troubleshooting Process Operation course is ideal for professionals responsible for power plant and process system reliability, control, and operational stability. It is especially beneficial for:

• Operations and Control Room Engineers
• Maintenance and Reliability Engineers
• Process Engineers
• Electrical and Instrumentation Engineers
• Plant Supervisors
• Utility Operations Personnel
• Production and Process Technicians
• Asset Integrity and Reliability Specialists
• Field Operations Engineers