Current Trends and Applications of Machine Learning in Tribology—A Review

Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific disciplines industries, high hopes being pinned upon them. Likewise, ML AI approaches have also found their way into tribology, where they can support sorting through the complexity of patterns identifying trends within multiple interacting features processes. Published research extends across fields tribology from composite materials drive technology to manufacturing, surface engineering, lubricants. Accordingly, intended usages numerical algorithms manifold, ranging neural networks (ANN), decision trees over random forest rule-based learners vector machines. Therefore, this review is aimed introduce discuss current applications tribology. Thus, researchers R&D engineers shall be inspired supported identification selection suitable promising strategies.