Online Training Programme on Artificial Intelligence Applications in Maintenance Engineering & Management
Course Objectives
- Understand the fundamentals of AI and its relevance to maintenance engineering
- Identify AI-driven tools and techniques for predictive and preventive maintenance
- Apply AI algorithms to optimize maintenance scheduling and resource allocation
- Analyze real-world case studies of AI applications in maintenance management
- Develop skills for evaluating and integrating AI solutions into maintenance systems
Course Outline
- Introduction to AI in Maintenance Engineering
- Overview of AI, ML, and data analytics in maintenance.
- Importance of AI in modern maintenance management.
- AI Tools for Predictive and Preventive Maintenance
- Techniques: Predictive maintenance, condition monitoring, anomaly detection.
- Benefits: Reduced downtime, improved reliability, cost savings.
- AI for Maintenance Scheduling and Resource Optimization
- AI-driven scheduling and resource allocation.
- Optimizing workflows and minimizing disruptions.
- Real-World Case Studies in AI Applications
- Case studies across industries.
- Analysis of AI implementations, outcomes, and challenges.
- Evaluating and Integrating AI into Maintenance Systems
- Criteria for selecting AI solutions.
- Best practices for integrating AI with existing systems.
Target Group: Engineering and facilities managers, Maintenance engineers, Technical officers
Resource Persons
- Prof. Sisil Kumarawadu
- Dr. V. Logeeshan
- Mr. Thamindu Pathirana
Duration
05 - Days (3 hours a day), 15 hours