TÜV THÜRINGEN. Safety in good hands.
TRAINING
- Robert Sosiński - Training Department Manager
- +48 724 900 028
- robert.sosinski@tuv-thuringen.pl
Participants will learn about real-time monitoring systems, techniques for analysing component wear, and the use of sensors to monitor key machine parameters. The programme also covers preventive maintenance and reliability engineering principles, which help optimise maintenance operations and prevent costly failures. Training provides practical knowledge of predictive technologies and strategies to minimise operational risks.
Course Outcomes
Upon completion of the course, participants will be able to manage mechanical systems effectively, enhancing reliability and performance.
Who Should Attend
This training is intended for:
- Mid- and senior-level managers
- Individuals seeking employment in manufacturing, logistics, transport, or service companies
- Professionals who supervise or monitor the operations of manufacturing, transport, or logistics companies, or are involved in management, technical consulting, or economic advisory within production, logistics, and transport sectors
The Basics of Tribology course provides essential knowledge of friction, lubrication, and surface wear phenomena in mechanical systems. Participants will learn about different types of friction, methods for minimising energy losses, and lubrication techniques that ensure optimal machine performance. The course also covers the impact of temperature on wear processes and durability testing methods to
assess material resistance under operating conditions.
This training is applicable in mechanical engineering, maintenance, and technical diagnostics.
Course Outcomes
Upon completion of the course, participants will be able to consciously select tribological materials and solutions, enhancing the efficiency of mechanical systems.
Who Should Attend
This training is designed for:
- Mid- and senior-level managers
- Individuals seeking employment in manufacturing, logistics, transport, or service companies
- Professionals who supervise or monitor operations in manufacturing, transport, or logistics companies, or who are involved in management, technical consulting, or economic advisory in the areas of production, logistics, and transport
This training focuses on leveraging data analysis and modern technologies to optimise maintenance processes. Participants will learn methods for machine diagnostics, IoT sensor integration, and the use of digital monitoring systems to predict failures and minimise downtime. The programme also covers practical applications of artificial intelligence for analysing wear trends and optimising maintenance strategies.
The course enables participants to implement effective predictive models, increasing machine reliability and reducing operational costs.
Course Outcomes
After completing the course, participants will be able to effectively manage maintenance systems using real-time data.
Who Should Attend
This training is intended for:
- Mid- and senior-level managers
- Individuals seeking employment in manufacturing, logistics, transport, or service companies
- Professionals who supervise or monitor operations in manufacturing, transport, or logistics companies, or who are involved in management, technical consulting, or economic advisory within production, logistics, and transport sectors
