Predictive Maintenance Techniques

$950.00

Class 1: Condition Monitoring Technologies
• Vibration analysis (vibration signature analysis, spectrum analysis)
• Thermography (infrared imaging)
• Oil analysis (wear debris analysis, contaminant analysis)
• Other condition monitoring techniques (ultrasonic testing, motor current signature analysis)
• Selection of appropriate condition monitoring techniques
Class 2: Failure Modes and Effects Analysis (FMEA)
• FMEA principles and methodology
• Failure modes identification
• Severity, occurrence, and detection ratings
• Risk priority number (RPN) calculation
• FMEA action planning and implementation
Class 3: Root Cause Analysis
• Root cause analysis techniques (5 Whys, fishbone diagrams, Ishikawa diagrams)
• Identifying the root cause of equipment failures
• Corrective action planning and implementation
• Preventive measures to address root causes
Class 4: Reliability and Maintainability Engineering
• Reliability concepts and metrics
• Maintainability concepts and metrics
• Reliability and maintainability analysis techniques
• Reliability-centered maintenance (RCM)
• Reliability-based maintenance strategies
Class 5: Predictive Maintenance Strategies and Implementation
• Predictive maintenance planning and implementation
• Condition monitoring data analysis
• Predictive maintenance decision-making
• Integration of predictive maintenance into overall maintenance strategy
• Benefits and challenges of predictive maintenance

Description

This course provides a comprehensive overview of predictive maintenance techniques, equipping participants with the knowledge and skills needed to proactively identify and address potential equipment failures. The course will cover essential topics such as condition monitoring technologies, failure analysis, reliability engineering, and predictive maintenance strategies. By the end of this course, participants will be able to implement effective predictive maintenance programs that improve equipment reliability, reduce downtime, and optimize operational costs.