DATA-DRIVEN PREDICTIVE MAINTENANCE AND OPTIMAL PLAN* (40 HOURS)

Effective management of maintenance in industries is a major concern to reduce the cost and ensure reliable operation of high-value equipment/machines. With modern complex complicated equipment and time pressure from production, an informative decision with timely support from relevant data is critical for an optimal plan and cost-effective maintenance.

However, data are normally diverse and scattered around anywhere in the office or the shopfloor, and need to be collated with time-stamp first. To get insights from data for improving efficiency and quality of maintenance, profound data analysis knowledge, techniques and skills are needed. 

About the Programme

This course aims to provide the participants with the knowledge, techniques and skills of data analysis for predictive maintenance and optimal maintenance planning. Data from operation management systems, machine sensors, maintenance activities will be analyzed. Latest technology such as machine learning-based predictive engine, maintenance planning system is introduced and allow participants to discuss industrial cases and gain hands-on experience.

At the end of the course, participants can:

• Understand basic concepts and issues in data analysis Identify imbalanced data classes
• Perform data processing effectively
• Understand the concept of data driven predictive maintenance
• Understand the concept of optimal maintenance planning
• Apply data analysis techniques for maintenance planning for optimisation