Condition Based Maintenance Masterclass from Basics to AI

Practical CBM Maintenance: predictive, condition monitoring, diagnostics, industry 4.0, AI, and real power plant cases

Condition-Based Maintenance (CBM) for Energy Projects by EOM is a practical, industry-oriented course that teaches you how to design and implement a condition-based maintenance strategy to improve reliability, reduce unplanned downtime, and optimize maintenance costs and spare parts management.

What this course will help you achieve:

By the end of this training, you will be able to:

• Understand the role of CBM in modern maintenance and reliability programs

• Apply the full CBM workflow: Monitor → Detect → Diagnose → Prognose → Act

• Choose the right CBM techniques based on asset criticality and failure modes

• Define alarm thresholds, reduce false alarms, and improve decision-making

• Build a realistic CBM implementation roadmap for your plant or engineering environment

What you will learn (CBM techniques and tools):

You will gain practical exposure to the most widely used condition monitoring technologies:

• Evolution of maintenance strategies from reactive to predictive CBM-driven maintenance

• CBM fundamentals and workflow: Monitor → Detect → Diagnose → Prognose → Act

• Core CBM techniques: vibration, thermography, oil analysis, ultrasound, and ESA/MCSA

• Role of CMMS in CBM execution, work order management, and data integration

• Global maintenance gaps between reactive, preventive, and condition-based models

• Key challenges in CBM adoption and proven mitigation strategies

• Frameworks to build a practical CBM implementation roadmap

• Differences between CBM, predictive, prescriptive, and hybrid maintenance models

• Real-world case studies with measurable reliability and cost improvements

• Future of CBM: AI, digital twins, IoT, and autonomous maintenance

• How to develop a CBM action plan and measure ROI

Standards and best-practice frameworks covered:

This course links CBM execution to international references, including:

• ISO 17359 (Condition monitoring — general guidelines)

• ISO 13374 (Data processing and communication)

• ISO 55000 (Asset management principles)

Following (course structure):

• Maintenance strategy evolution and CBM fundamentals

• CBM workflow and decision-making process

• CBM technologies (vibration, thermography, oil, ultrasound, ESA)

• Implementation roadmap and adoption challenges

• Real industry case studies with measurable results

• Future of CBM: AI, Digital Twins, Industry 5.0

Who this course is for:

• Maintenance Engineers and Supervisors

• Reliability Engineers and Asset Managers

• O&M Managers and Power Plant Engineers

• Industrial professionals working with rotating/electrical assets

• Engineering students looking for a structured CBM foundation