Predictive Preventive Maintenance Engineering is designed to provide maintenance professionals with the knowledge and skills they need to develop and implement effective predictive and preventive maintenance strategies that minimize downtime and maximize equipment reliability. This program will cover key topics such as predictive maintenance techniques, preventive maintenance strategies, maintenance optimization, and continuous improvement.
Course Objectives:
- Understand the principles of predictive maintenance and how they apply to maintenance engineering.
- Learn the various predictive maintenance techniques such as vibration analysis, oil analysis, thermography, ultrasonic testing, and non-destructive testing.
- Understand the principles of preventive maintenance and how to develop effective preventive maintenance strategies.
- Learn how to develop and implement maintenance optimization strategies that minimize downtime and maximize equipment reliability.
- Understand the principles of continuous improvement and how to use data analytics to support maintenance decision-making.
- Develop the skills to diagnose and troubleshoot maintenance issues using predictive maintenance techniques and preventive maintenance strategies.
- Learn how to use computerized maintenance management systems (CMMS) and enterprise asset management (EAM) systems to support maintenance engineering activities.
Overall, the program on Predictive Preventive Maintenance Engineering aims to provide maintenance professionals with the knowledge and skills they need to develop and implement effective predictive and preventive maintenance strategies. Participants in this program will gain an understanding of predictive maintenance techniques such as vibration analysis, oil analysis, thermography, ultrasonic testing, and non-destructive testing. They will also learn how to develop and implement effective preventive maintenance strategies, optimize maintenance activities to minimize downtime and maximize equipment reliability, and use data analytics to support maintenance decision-making. The program will also cover best practices in using computerized maintenance management systems (CMMS) and enterprise asset management (EAM) systems to support maintenance engineering activities. Ultimately, participants in this program will be equipped with the skills and knowledge needed to become experts in Predictive Preventive Maintenance Engineering.
