Predictive Maintenance & Condition Monitoring for Rotating Machinery Training Course

Course Overview

Learning Objectives

• By the end of this training course, participants will be able to:
• Explain the principles and objectives of predictive maintenance and condition monitoring.
• Analyze the relationship between equipment condition, failure mechanisms, and maintenance strategy.
• Identify appropriate condition monitoring techniques for different rotating machinery.
• Evaluate equipment criticality and determine monitoring priorities.
• Apply vibration monitoring principles to rotating equipment.
• Analyze lubrication condition and contamination indicators.
• Evaluate thermographic and operating parameter data.
• Apply appropriate techniques for detecting developing equipment faults.
• Establish equipment condition baselines and acceptable operating ranges.
• Interpret trends and identify abnormal changes in equipment condition.
• Assess the severity and potential consequences of detected anomalies.
• Integrate condition monitoring results with maintenance planning and scheduling.
• Develop risk-based maintenance recommendations based on equipment condition.
• Evaluate the effectiveness of predictive maintenance programmes.
• Establish appropriate condition monitoring indicators and reporting mechanisms.
• Develop an integrated predictive maintenance and condition monitoring framework.

Who Should Attend

Learning Outcomes

• Upon completion of the course, participants will be able to:
• Develop a structured predictive maintenance programme for rotating machinery.
• Select suitable condition monitoring techniques based on equipment type and criticality.
• Establish equipment condition baselines and monitoring parameters.
• Collect and validate condition monitoring data.
• Interpret vibration measurements and identify common abnormal patterns.
• Analyze lubrication and contamination-related indicators.
• Evaluate temperature and thermographic information.
• Monitor operating parameters and identify deviations from normal conditions.
• Recognize early indicators of mechanical and operational deterioration.
• Assess equipment health and failure risk using condition data.
• Prioritize maintenance interventions according to condition and criticality.
• Convert condition monitoring findings into actionable maintenance recommendations.
• Integrate predictive maintenance with preventive and corrective maintenance programmes.
• Develop condition monitoring reports and management dashboards.
• Measure predictive maintenance effectiveness using relevant reliability indicators.
• Prepare a practical roadmap for improving rotating machinery reliability through predictive maintenance.

Course Outline