Industrial IoT Applications for Maintenance focuses on equipping participants with hands-on skills and knowledge essential for leveraging IoT technologies in maintenance practices. The course emphasizes project-based learning, enabling participants to engage in real-world scenarios that illustrate the integration of IoT systems within maintenance frameworks. By the end of the program, attendees will possess the ability to implement predictive maintenance strategies that enhance operational efficiency and reduce downtime.
Throughout the course, participants will explore a variety of topics that bridge theoretical knowledge with practical application. The curriculum is designed to foster collaboration and innovation, encouraging participants to publish their findings in Cademix Magazine. This not only reinforces learning but also contributes to the broader professional community. Participants will engage in projects that simulate industry challenges, ensuring they are well-prepared for the demands of the job market.
Introduction to Industrial IoT and its Role in Maintenance
Overview of Predictive Maintenance: Concepts and Tools
Data Collection Techniques: Sensors and IoT Devices
Data Analysis for Predictive Maintenance: Techniques and Software
Implementing IoT Solutions in Existing Maintenance Frameworks
Case Studies: Successful Industrial IoT Applications
Real-time Monitoring and Diagnostics
Developing Maintenance Strategies Based on Data Insights
Final Project: Designing an IoT-based Predictive Maintenance System
Presentation of Results and Publication in Cademix Magazine