RT Journal Article
T1 An Artificial Intelligence Approach for Gears Diagnostics in AUVs
A1 Nicolas Marichal, Graciliano
A1 Del Castillo Zas, María Lourdes
A1 López López, Jesús
A1 Padrón, Isidro
A1 Artes Gomez, Mariano
AB In this paper, an intelligent scheme for detecting incipient defects in spur gears is presented. In fact, the study has been undertaken to determine these defects in a single propeller system of a small-sized unmanned helicopter. It is important to remark that although the study focused on this particular system, the obtained results could be extended to other systems known as AUVs (Autonomous Unmanned Vehicles), where the usage of polymer gears in the vehicle transmission is frequent. Few studies have been carried out on these kinds of gears. In this paper, an experimental platform has been adapted for the study and several samples have been prepared. Moreover, several vibration signals have been measured and their time-frequency characteristics have been taken as inputs to the diagnostic system. In fact, a diagnostic system based on an artificial intelligence strategy has been devised.
PB MPDI
SN 1424-3210
YR 2016
FD 2016-04-01
LK https://hdl.handle.net/10016/38795
UL https://hdl.handle.net/10016/38795
LA eng
NO This work has been supported by the Spanish Government Projects DPI2015-69325-C2-1-R, DPI2015-69325-C2-2-R of Ministerio de Economía y Competitividad, Project 2015/0001018 ULL and 2016-MEC-25-ETSII-UNED.
DS e-Archivo
RD 18 jul. 2024