Predictive Maintenance Principles and Applications

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Pupils, Students, Workers

This intermediate course empowers learners to identify, apply, and implement predictive maintenance strategies in real-world scenarios, through understanding requirements, methodologies, and relevant technologies.

Learning outcomes

After the end of this session, the learners will be able to identify the principles and concepts of Predictive Maintenance and how they can be applied in industry for maintenance support
By the end of the course, learners will be able to propose tailored predictive maintenance plans, integrating principles, methodologies, and technologies to optimize operational efficiency and minimize downtime.
By the end of this session, learners will have thoroughly investigated real-world case studies to understand the practical implementation of predictive maintenance, enabling them to identify specific challenges, solutions, and best practices for optimizing operational performance.