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Course Outline
Overview of Predictive Maintenance
- Definition and scope of predictive maintenance.
- Comparing reactive, preventive, and predictive approaches.
- Practical ROI examples and industry-specific case studies.
Data Acquisition and Preprocessing
Machine Learning in Predictive Maintenance
Constructing Predictive Workflows
Modeling Failure Modes and Health Indices
Visualization and Alert Mechanisms
Best Practices and Risk Mitigation
Recap and Future Directions
Requirements
- Foundational knowledge of industrial equipment and maintenance processes
- Basic understanding of AI and machine learning principles
- Practical experience with data collection and monitoring systems
Target Audience
- Maintenance engineers
- Reliability specialists
- Operations managers
14 Hours
