Mostrar el registro sencillo del ítem

dc.contributor.authorGupta, Neeraj
dc.contributor.authorGupta, Saurabh
dc.contributor.authorKhosravy, Mahdi
dc.contributor.authorDey, Nilanjan
dc.contributor.authorJoshi, Nisheeth
dc.contributor.authorGonzález-Crespo, Rubén (1)
dc.contributor.authorPatel, Nilesh
dc.date2021
dc.date.accessioned2021-07-22T09:22:33Z
dc.date.available2021-07-22T09:22:33Z
dc.identifier.issn0956-5515
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11643
dc.description.abstractToday’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for efficient health monitoring and diagnostic (HM&D) strategy to maximize the field efficiency and minimize the machine cost. Based on the data captured by various IoT sensors, we demonstrate the facts to shift the HM&D technology from costly sensor to economic microphone based mechanism. The adopted strategy is capable to reduce the bulky data transmission on the internet, and to increase the up-time of AgVs. We experimented on the essential red hot chili peppers system of the AgV’s backbone hydraulic system—the hydraulic filter and pump. The measurement system analysis is adopted to determine the preciseness of data captured near the considered components. The envision of the correlation between the collected data extracts significant information to draw the facts to embrace the future HM&D technology shift. Correlation between the signals captured from costly sensors and Microphone for the generated faults in hydraulic components demonstrates the effectiveness of audio to replace existing HM&D technology.es_ES
dc.language.isoenges_ES
dc.publisherJournal of intelligent manufacturinges_ES
dc.relation.ispartofseries;vol. 32, nº 4
dc.relation.urihttps://link.springer.com/article/10.1007/s10845-020-01610-0es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectacoustic noisees_ES
dc.subjectagriculture end-deviceses_ES
dc.subjectagriculture vehiclees_ES
dc.subjectartificial intelligencees_ES
dc.subjectbig dataes_ES
dc.subjectIoTes_ES
dc.subjectsensorses_ES
dc.subjectScopuses_ES
dc.subjectWOS(2)es_ES
dc.subject
dc.titleEconomic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicleses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/s10845-020-01610-0


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem