Articoli correlati a Fault Detection of Gear Box using Artificial Neural...

Fault Detection of Gear Box using Artificial Neural Network (ANN) - Brossura

Ghulanavar, Rohit; Mulla, Moshim

 
9786139913619: Fault Detection of Gear Box using Artificial Neural Network (ANN)
Brossura
ISBN 10: 6139913616 ISBN 13: 9786139913619
Casa editrice: LAP LAMBERT Academic Publishing, 2018

Sinossi

Fault diagnosis plays an important role in condition monitoring to enhance the machine time. In view of this, the present investigation focused on the development of Fault diagnosis system of gear boxes based on the vibration signatures and Artificial Neural Networks. In the present investigation to generate the vibration signatures an experimental set-up has been fabricated with sensing and measuring equipment. The four prominent faults wear,crack, broken tooth and insufficient lubrication of the gear were practically induced in the present investigation. Vibration signatures of the gearbox were collected by transmitting the motion at constant speed with gears having no fault, without applying any load.By inducing one fault at a time, vibration signatures were collected with different faults. Further, it was decided to use ANN based fault diagnosis system for the present investigation. The set of statistical features were extracted based on data pertaining to maximum amplitudes of vibration. The lower frequency of vibration Signal (RMS) is used as input to the ANN based fault diagnosis system designed and developed in MATLAB.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
6139913616
ISBN 13 
9786139913619
Rilegatura
Copertina flessibile
Numero di pagine
64
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Germania