AustralieFrV1, PascalFrancis, Corpus, bibRecord, 005A24

Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs

Identifieur interne : 005A24 ( PascalFrancis/Corpus ); précédent : 005A23; suivant : 005A25

Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs

Auteurs : L. Bouillaut ; M. Sidahmed

Source :

Mechanical systems and signal processing [ 0888-3270 ] ; 2001.

RBID : Pascal:02-0056907

Descripteurs français

Pascal (Inist)
- Méthode mesure, Monitorage, Diagnostic panne, Vibration, Détection défaut, Hélicoptère, Boîte vitesse, Engrenage, Traitement signal, Processus non stationnaire, Forme bilinéaire, Analyse statistique, 4680, Cyclostationnarité.

English descriptors

KwdEn :
- Bilinear form, Cyclostationarity, Defect detection, Fault diagnostic, Gear, Gear box, Helicopter, Measurement method, Monitoring, Non stationary process, Signal processing, Statistical analysis, Vibration.

Abstract

In this paper, we would like to determine links or common properties between cyclostationarity and bilinearity. For the first time, we present a comparison between cyclostationarity and bilinearity. By using calculations, simulations with synthetic signals and finally applications to industrial signals, we underline that cyclostationary and bilinear tools make it possible to determine both non-linear and non-stationary links. The second part of our study deals with applications of these approaches for the diagnosis of faults on industrial signals, recorded on a helicopter gear box. We especially underline the importance of torque in the quality of diagnosis. Finally, we introduce a classification method. It allows us to determine if a link between two frequencies is cyclostationary rather than bilinear. This method is based on the use of higher-order cyclic statistics and more especially on the cyclic bispectrum.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A09	`01`	`1`	`ENG`	`@1 Gears and Bearings Diagnostics`
A11	`01`	`1`		`@1 BOUILLAUT (L.)`
A11	`02`	`1`		`@1 SIDAHMED (M.)`
A12	`01`	`1`		`@1 RANDALL (R. B.) @9 ed.`
A14	`01`			`@1 Laboratory Heudiasyc, Université de Technologie de Compiègne, UMR CNRS 6599 @2 Compiègne @3 FRA @Z 1 aut. @Z 2 aut.`
A15	`01`			`@1 The University of New South Wales @2 Sydney, NSW 2052 @3 AUS @Z 1 aut.`
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A44				`@0 0000 @1 © 2002 INIST-CNRS. All rights reserved.`
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A64	`01`	`1`		`@0 Mechanical systems and signal processing`
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C01	`01`		`ENG`	@0 In this paper, we would like to determine links or common properties between cyclostationarity and bilinearity. For the first time, we present a comparison between cyclostationarity and bilinearity. By using calculations, simulations with synthetic signals and finally applications to industrial signals, we underline that cyclostationary and bilinear tools make it possible to determine both non-linear and non-stationary links. The second part of our study deals with applications of these approaches for the diagnosis of faults on industrial signals, recorded on a helicopter gear box. We especially underline the importance of torque in the quality of diagnosis. Finally, we introduce a classification method. It allows us to determine if a link between two frequencies is cyclostationary rather than bilinear. This method is based on the use of higher-order cyclic statistics and more especially on the cyclic bispectrum.
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C03	`05`	`X`	`SPA`	`@0 Detección imperfección @5 05`
C03	`06`	`X`	`FRE`	`@0 Hélicoptère @5 08`
C03	`06`	`X`	`ENG`	`@0 Helicopter @5 08`
C03	`06`	`X`	`SPA`	`@0 Helicóptero @5 08`
C03	`07`	`X`	`FRE`	`@0 Boîte vitesse @5 09`
C03	`07`	`X`	`ENG`	`@0 Gear box @5 09`
C03	`07`	`X`	`SPA`	`@0 Caja cambio velocidad @5 09`
C03	`08`	`X`	`FRE`	`@0 Engrenage @5 10`
C03	`08`	`X`	`ENG`	`@0 Gear @5 10`
C03	`08`	`X`	`SPA`	`@0 Engranaje @5 10`
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C03	`14`	`X`	`ENG`	`@0 Cyclostationarity @4 CD @5 96`
N21				`@1 028`

Format Inist (serveur)

NO :	PASCAL 02-0056907 INIST
ET :	Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs
AU :	BOUILLAUT (L.); SIDAHMED (M.); RANDALL (R. B.)
AF :	Laboratory Heudiasyc, Université de Technologie de Compiègne, UMR CNRS 6599/Compiègne/France (1 aut., 2 aut.); The University of New South Wales/Sydney, NSW 2052/Australie (1 aut.)
DT :	Publication en série; Niveau analytique
SO :	Mechanical systems and signal processing; ISSN 0888-3270; Royaume-Uni; Da. 2001; Vol. 15; No. 5; Pp. 923-943; Bibl. 25 ref.
LA :	Anglais
EA :	In this paper, we would like to determine links or common properties between cyclostationarity and bilinearity. For the first time, we present a comparison between cyclostationarity and bilinearity. By using calculations, simulations with synthetic signals and finally applications to industrial signals, we underline that cyclostationary and bilinear tools make it possible to determine both non-linear and non-stationary links. The second part of our study deals with applications of these approaches for the diagnosis of faults on industrial signals, recorded on a helicopter gear box. We especially underline the importance of torque in the quality of diagnosis. Finally, we introduce a classification method. It allows us to determine if a link between two frequencies is cyclostationary rather than bilinear. This method is based on the use of higher-order cyclic statistics and more especially on the cyclic bispectrum.
CC :	001D12C01; 001D12E02; 001B40F30R
FD :	Méthode mesure; Monitorage; Diagnostic panne; Vibration; Détection défaut; Hélicoptère; Boîte vitesse; Engrenage; Traitement signal; Processus non stationnaire; Forme bilinéaire; Analyse statistique; 4680; Cyclostationnarité
ED :	Measurement method; Monitoring; Fault diagnostic; Vibration; Defect detection; Helicopter; Gear box; Gear; Signal processing; Non stationary process; Bilinear form; Statistical analysis; Cyclostationarity
SD :	Método medida; Monitoreo; Diagnóstico pana; Vibración; Detección imperfección; Helicóptero; Caja cambio velocidad; Engranaje; Procesamiento señal; Proceso no estacionario; Forma bilineal; Análisis estadístico
LO :	INIST-21404.354000103085500060
ID :	02-0056907

Links to Exploration step

Pascal:02-0056907

Le document en format XML

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<ET>Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs</ET>
<AU>BOUILLAUT (L.); SIDAHMED (M.); RANDALL (R. B.)</AU>
<AF>Laboratory Heudiasyc, Université de Technologie de Compiègne, UMR CNRS 6599/Compiègne/France (1 aut., 2 aut.); The University of New South Wales/Sydney, NSW 2052/Australie (1 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Mechanical systems and signal processing; ISSN 0888-3270; Royaume-Uni; Da. 2001; Vol. 15; No. 5; Pp. 923-943; Bibl. 25 ref.</SO>
<LA>Anglais</LA>
<EA>In this paper, we would like to determine links or common properties between cyclostationarity and bilinearity. For the first time, we present a comparison between cyclostationarity and bilinearity. By using calculations, simulations with synthetic signals and finally applications to industrial signals, we underline that cyclostationary and bilinear tools make it possible to determine both non-linear and non-stationary links. The second part of our study deals with applications of these approaches for the diagnosis of faults on industrial signals, recorded on a helicopter gear box. We especially underline the importance of torque in the quality of diagnosis. Finally, we introduce a classification method. It allows us to determine if a link between two frequencies is cyclostationary rather than bilinear. This method is based on the use of higher-order cyclic statistics and more especially on the cyclic bispectrum.</EA>
<CC>001D12C01; 001D12E02; 001B40F30R</CC>
<FD>Méthode mesure; Monitorage; Diagnostic panne; Vibration; Détection défaut; Hélicoptère; Boîte vitesse; Engrenage; Traitement signal; Processus non stationnaire; Forme bilinéaire; Analyse statistique; 4680; Cyclostationnarité</FD>
<ED>Measurement method; Monitoring; Fault diagnostic; Vibration; Defect detection; Helicopter; Gear box; Gear; Signal processing; Non stationary process; Bilinear form; Statistical analysis; Cyclostationarity</ED>
<SD>Método medida; Monitoreo; Diagnóstico pana; Vibración; Detección imperfección; Helicóptero; Caja cambio velocidad; Engranaje; Procesamiento señal; Proceso no estacionario; Forma bilineal; Análisis estadístico</SD>
<LO>INIST-21404.354000103085500060</LO>
<ID>02-0056907</ID>
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Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs

Cyclostationary approach and bilinear approach: Comparison, applications to early diagnosis for helicopter gearbox and classification method based on hocs

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