Hydraulic System Onboard Monitoring and Fault Diagnostic in Agricultural Machine
Braz. arch. biol. technol
; 62: e19180363, 2019. graf
Artigo
em Inglês
| LILACS
| ID: biblio-1039133
Biblioteca responsável:
BR1.1
ABSTRACT
Abstract Agricultural Machinery as an off-road vehicle is the backbone of the World agricultural industry. Its main function is to operate as a prime mover and support the power requirements to function the various type of draft implements. In this regards, the hydraulic system is an important part and is controlled by the propagated oil which is cleaned by impurities and debris using a filter system. Once it blocks, the bypass opens to avoid any pressure burst of the system, and the particles find their way into the hydraulic system and get lodged in the gears, pumps, valves, and drive train to hinder the performance of the Agricultural Machinery. This research presents an onboard Multiple Signal Classification Algorithm (MUSIC) and pseudo-spectrum analysis as a computational tool used by cellphones to analyze the particle pollution level of the hydraulic filter. This analysis is carried out on the soundtracks recorded from different cell phones in different incremental stages of fluid contamination to the particles until it being choked, based on the standard of ISO4406.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
LILACS
Assunto principal:
Acústica
/
Manutenção Preventiva
/
Hidráulica
Tipo de estudo:
Estudo diagnóstico
Idioma:
Inglês
Revista:
Braz. arch. biol. technol
Assunto da revista:
Biologia
Ano de publicação:
2019
Tipo de documento:
Artigo
País de afiliação:
Brasil
/
Índia
/
Estados Unidos
Instituição/País de afiliação:
Federal University of Juiz de Fora/BR
/
John Deere India PVT. LTD/IN
/
Oakland University/US