Tribology has been and continues to be one of the most relevant fields, being present in almost all aspects of our lives. Based upon this sound and data-rich foundation, advanced data handling, analysis and learning methods can be developed and employed to expand existing knowledge. Therefore, modern machine learning (ML) or artificial intelligence (AI) methods provide opportunities to explore the complex processes in tribological systems and to classify or quantify their behavior in an efficient or even real-time way. Thus, their potential also goes beyond purely academic aspects into actual industrial applications. This presentation aims to present the latest research on ML or AI approaches for solving tribology-related issues. The focus will be less on presenting new ML or AI methods but rather on demonstrating the possible applications of existing methods and their adaptation to problems in tribology.
- Solutions & Products
Gulf Scientific Corporation and Fluitec Forge Strategic Partnership
GSC will be the authorized provider of Fluitec’s advanced condition monitoring solutions across Saudi Arabia and Bahrain.
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