correlación vibroacústica: detección cognitiva e identificación de fallas. // vibroacoustic correlation: failure identification and cognoscitive detection

Clicks: 6
ID: 164262
2000
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #74 of 76 articles by views in bmc musculoskeletal disorders

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract

Se presenta una metodología para la investigación diagnóstica de fallas en máquinas industriales mediante un correlador
vibroacústico, dispositivo que permite comparar automáticamente las frecuencias de una señal acústica y una vibratoria. Se
conjuga así la habilidad humana para la detección de ruidos anómalos con la identificación objetiva de su procedencia.


Palabras claves Acústica, ruido, vibraciones, correlación, fallas, identificación

_____________________________________________________________________________

Abstract
A methodology for the diagnosis investigation of failure in industrial machines by means of a vibroacustic corelator is
presented, device that allow to compare the frecuencies of an acoustic signal and a vibratory one automatically.In this way
the human ability for the detection of anomalous noises is conjugated with the objective identification of their origin.


Key words: Acoustic, Noise, Vibrations, Correlation, Failure Identification.

Reference Key
miyara2000ingenieracorrelacin Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;F. Miyara
Journal bmc musculoskeletal disorders
Year 2000
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.