Machine Learning in Tribology

Tribology has been and continues to be one of the most relevant fields, being present in almost all aspects of our lives. The understanding of tribology provides us with solutions for future technical challenges. At the root of all advances made so far are multitudes of precise experiments and an in...

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Bibliografiset tiedot
Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Aiheet:	artificial intelligence machine learning artificial neural networks tribology condition monitoring semi-supervised learning random forest classifier self-lubricating journal bearings reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding digital twin PINN reynolds equation triboinformatics databases data mining meta-modeling monitoring analysis prediction optimization fault data generation Convolutional Neural Network (CNN) Generative Adversarial Network (GAN) bearing fault diagnosis unbalanced datasets tribo-testing tribo-informatics natural language processing tribAIn BERT amorphous carbon coatings UHWMPE total knee replacement Gaussian processes rolling bearing dynamics cage instability regression neural networks random forest gradient boosting evolutionary algorithms rolling bearings remaining useful life feature engineering structure-borne sound n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Linkit:	ONIX_20220621_9783036539812_77
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

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ONIX_20220621_9783036539812_77

Machine Learning in Tribology

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