HIGHLIGHTS
- who: Borucka Anna from the State University of Applied Sciences, Faculty of Computer Science and Technology, Akademicka, Lomza, Poland have published the article: Feasibility study of a rail vehicle damper fault detection by artificial neural, in the Journal: (JOURNAL)
- what: The aim of this study was to investigate the feasibility of damper faults detection by means of artificial neural_networks (ANN) of different number of hidden layers applied solely to vibration signals` spectra obtained from multibody simulation. The paper analyses numerically the effects of loss of damping on rail vehicle dynamics. Wu et_al proposed synchrony group . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.