About the Course
The “Preventive and Predictive Maintenance for Devices and Equipment” course is a specialized training program designed to meet the demands of the job market in the industrial, energy, and technical service sectors. This course helps participants master modern maintenance concepts and methods to ensure operational efficiency and reduce equipment breakdowns. By taking this course, trainees will acquire the necessary skills to effectively extend equipment lifespan and elevate productivity levels.
Course Objectives
- Understand the concepts and implementation phases of preventive and predictive maintenance.
- Distinguish between different maintenance strategies and determine the most appropriate one based on equipment type.
- Apply condition monitoring and tracking techniques used in predictive maintenance.
- Develop effective preventive maintenance schedules within organizations.
- Utilize data to predict potential failures and make accurate maintenance decisions.
- Improve the efficiency of industrial operations by minimizing unplanned downtime.
- Develop maintenance management systems adopting global best practices.
Course Outline
Day 1: Introduction to Maintenance Systems and Their Types
- The concept of maintenance and its types (Corrective, Preventive, Predictive).
- The importance of developing modern maintenance systems in industrial sectors.
- Comparing preventive and predictive maintenance in terms of efficiency and cost.
- Determining the requirements for implementing each type of maintenance within an organization.
Day 2: Principles and Fundamentals of Preventive Maintenance
- The concept of preventive maintenance and its role in sustaining equipment efficiency.
- Designing preventive maintenance programs using timelines and schedules.
- Tools for planning and scheduling preventive maintenance tasks.
- Case studies on successful preventive maintenance applications.
Day 3: Principles and Fundamentals of Predictive Maintenance
- The concept of predictive maintenance and the integration of modern technologies.
- Techniques for continuous equipment condition monitoring (e.g., vibration, temperature, and noise analysis).
- Data analysis tools for determining the operational condition of equipment.
- The role of Artificial Intelligence (AI) and the Internet of Things (IoT) in predictive maintenance.
Day 4: Practical and Analytical Applications
- Cost-benefit and efficiency analysis comparing preventive and predictive maintenance.
- Selecting the optimal maintenance system based on equipment nature and operational costs.
- How to collect and analyze performance data to support strategic maintenance decisions.
- Applied study: Evaluating an existing maintenance system’s performance and proposing improvements.
Day 5: Maintenance Systems Management and Development
- Core components of an effective maintenance management system.
- Key Performance Indicators (KPIs) used for evaluating maintenance performance.
- Steps to develop a comprehensive strategy incorporating both preventive and predictive maintenance.
- The future of smart maintenance and the integration of advanced technologies into daily operations.
