PreMETS -Digitalisation in Predictive Maintenance: Developing Digital Skills

Participants will gain hands-on experience with Digital Twins, AR/VR, IoT, AI, and Machine Learning, all while understanding the importance of cybersecurity and ethical considerations. With a focus on practical applications and real-world case studies, the PreMETS course prepares both industry professionals and newcomers to lead and innovate in the predictive maintenance field.

What You’ll Learn through this course:

1. Data Utilization
Understand the importance of data quality and the various sources of data including equipment, product, customer, and environmental data.
Learn about different data types such as time-series and spatial data, and the formats and collection methods used in predictive maintenance.

2. Types of Maintenance & Digitalization
Explore various maintenance strategies including Predictive Maintenance (PM) and Condition-based Maintenance (CBM), and the role digital technologies play in these processes.
Examine the pros and cons of each maintenance type and understand how digital tools enhance their effectiveness.

3. Emerging Technologies
Discover cutting-edge technologies like Digital Twins, Augmented Reality (AR), Virtual Reality (VR), and their applications in predictive maintenance.
Learn about the integration of drones and advanced robotics in maintaining and inspecting equipment.

4. Cybersecurity & Ethical Considerations
Grasp the importance of cybersecurity in protecting predictive maintenance systems and the ethical considerations in data management.
Navigate the regulatory landscape and understand data protection standards to ensure compliance and ethical data practices.

5. Predictive Maintenance Techniques
Delve into various predictive maintenance techniques such as signal processing, vibration monitoring, thermography, and tribology.
Gain insights into real-world applications and case studies that highlight the effectiveness of these techniques.

6. IoT, AI, Machine Learning, and Blockchain
Learn how the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, and Blockchain technologies are transforming predictive maintenance.
Explore how these technologies can be leveraged to predict failures, optimize maintenance schedules, and improve overall operational efficiency.

7. Project Management & Collaboration
Understand the principles of project management in the context of predictive maintenance projects.
Discover collaboration tools and strategies to effectively manage maintenance teams and projects.

– Course Benefits –

By the end of this course, you will:
• Have a comprehensive understanding of predictive maintenance and its applications.
• Be able to utilize various data sources and types effectively.
• Be familiar with emerging digital technologies and their integration into maintenance practices.
• Understand the critical role of cybersecurity and ethical considerations in predictive maintenance.
• Be equipped with practical knowledge of various predictive maintenance techniques.
• Be prepared to manage and collaborate on predictive maintenance projects efficiently.