A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS
In this work, an effective methodology to detect early stage faults in rotating machinery is proposed. The methodology is based on the analysis of cyclostationarity, which is inherent to the vibration signals generated by rotating machines. Of a particularly interest are the second and higher orders...
Guardado en:
Autores principales: | , , |
---|---|
Lenguaje: | English |
Publicado: |
Universidad de Tarapacá.
2010
|
Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000100006 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:scielo:S0718-33052010000100006 |
---|---|
record_format |
dspace |
spelling |
oai:scielo:S0718-330520100001000062010-06-14A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMSSan Martín,CésarEstupiñán,EdgarSan Martín,Daniel Cyclostationary analysis fault diagnosis vibration analysis condition monitoring In this work, an effective methodology to detect early stage faults in rotating machinery is proposed. The methodology is based on the analysis of cyclostationarity, which is inherent to the vibration signals generated by rotating machines. Of a particularly interest are the second and higher orders cyclostationary components since they contain valuable information, which can be used for the early detection of faults in rolling bearings and gear systems. The first step of the methodology consists in the separation of the first-order periodicity components from the raw signal, in order to focus the analysis in the residual part of the signal, which contains the second and higher order periodicities. Then, the residual signal is filtered and demodulated, using the frequency range of highest importance. Finally, the demodulated residual signal is auto-correlated, obtaining an enhanced signal that may contain clear spectral components related to the presence of a prospective localized fault. The methodology is validated analyzing experimental vibration data for two different cases. The first case is related to the detection of a crack in one of the teeth of a gearbox system and the second case is related to the detection of a pitfall in the inner race of a rolling bearing. The results show that the proposed method for the condition monitoring of rotating machines is a useful tool for the tasks of fault diagnosis, which can complement the analysis made using traditional diagnostic techniques.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.18 n.1 20102010-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000100006en10.4067/S0718-33052010000100006 |
institution |
Scielo Chile |
collection |
Scielo Chile |
language |
English |
topic |
Cyclostationary analysis fault diagnosis vibration analysis condition monitoring |
spellingShingle |
Cyclostationary analysis fault diagnosis vibration analysis condition monitoring San Martín,César Estupiñán,Edgar San Martín,Daniel A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
description |
In this work, an effective methodology to detect early stage faults in rotating machinery is proposed. The methodology is based on the analysis of cyclostationarity, which is inherent to the vibration signals generated by rotating machines. Of a particularly interest are the second and higher orders cyclostationary components since they contain valuable information, which can be used for the early detection of faults in rolling bearings and gear systems. The first step of the methodology consists in the separation of the first-order periodicity components from the raw signal, in order to focus the analysis in the residual part of the signal, which contains the second and higher order periodicities. Then, the residual signal is filtered and demodulated, using the frequency range of highest importance. Finally, the demodulated residual signal is auto-correlated, obtaining an enhanced signal that may contain clear spectral components related to the presence of a prospective localized fault. The methodology is validated analyzing experimental vibration data for two different cases. The first case is related to the detection of a crack in one of the teeth of a gearbox system and the second case is related to the detection of a pitfall in the inner race of a rolling bearing. The results show that the proposed method for the condition monitoring of rotating machines is a useful tool for the tasks of fault diagnosis, which can complement the analysis made using traditional diagnostic techniques. |
author |
San Martín,César Estupiñán,Edgar San Martín,Daniel |
author_facet |
San Martín,César Estupiñán,Edgar San Martín,Daniel |
author_sort |
San Martín,César |
title |
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
title_short |
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
title_full |
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
title_fullStr |
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
title_full_unstemmed |
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS |
title_sort |
methodology for the detection and diagnostic of localized faults in gears and rolling bearings systems |
publisher |
Universidad de Tarapacá. |
publishDate |
2010 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000100006 |
work_keys_str_mv |
AT sanmartincesar amethodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems AT estupinanedgar amethodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems AT sanmartindaniel amethodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems AT sanmartincesar methodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems AT estupinanedgar methodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems AT sanmartindaniel methodologyforthedetectionanddiagnosticoflocalizedfaultsingearsandrollingbearingssystems |
_version_ |
1714203381753446400 |