Identifying vibration critical gearset features using a Bayesian Regularized Artificial Neural Network

Autor: Liepins, Jurgis Toms, Bates, Charles Anthony

Publikováno v: Liepins, J T & Bates, C A 2022, Identifying vibration critical gearset features using a Bayesian Regularized Artificial Neural Network . in 2022 IEEE/SICE International Symposium on System Integration (SII) . IEEE, pp. 97-102, 2022 IEEE/SICE International Symposium on System Integration, Narvik, Norway, 09/01/2022 . https://doi.org/10.1109/SII52469.2022.9708900

In situ analyses utilizing vibration measurements is a growing field of research. Still, with few exceptions, the focus of research remains on condition monitoring of hydraulic systems and components, or the reduction of undesirable noise associated

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