Wind Turbine Gearbox Failure Identification With Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2607179
Abstract: The feasibility of monitoring the health of wind turbine (WT) gearboxes based on the lubricant pressure data in the supervisory control and data acquisition system is investigated in this paper. A deep neural network (DNN)-based… read more here.
Keywords: identification deep; deep neural; failure identification; gearbox failure ... See more keywords
Contact Failure Identification in Multilayered Media via Artificial Neural Networks and Autoencoders.
Sign Up to like & getrecommendations! Published in 2022 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202220211577
Abstract: The estimation of defects positioning occurring in the interface between different materials is performed by using an artificial neural network modeled as an inverse heat conduction problem. Identifying contact failures in the bonding process of… read more here.
Keywords: network; multilayered media; experimental data; failure identification ... See more keywords