Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm

The gear fault diagnosis on multistage gearboxes by vibration analysis is a challenging task due to the complexity of the vibration signal. The localization of the gear fault occurring in a wheel located in the intermediate shaft can be particularly complex due to the superposition of the vibration...

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Main Authors: M. Buzzoni, E. Mucchi, G. D’Elia, G. Dalpiaz
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2017/8345704
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spelling doaj-f9986b3f1b734e65a52ae005185758992020-11-24T23:32:12ZengHindawi LimitedShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/83457048345704Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based AlgorithmM. Buzzoni0E. Mucchi1G. D’Elia2G. Dalpiaz3Engineering Department, University of Ferrara, Via Saragat, 1 I-44122 Ferrara, ItalyEngineering Department, University of Ferrara, Via Saragat, 1 I-44122 Ferrara, ItalyEngineering Department, University of Ferrara, Via Saragat, 1 I-44122 Ferrara, ItalyEngineering Department, University of Ferrara, Via Saragat, 1 I-44122 Ferrara, ItalyThe gear fault diagnosis on multistage gearboxes by vibration analysis is a challenging task due to the complexity of the vibration signal. The localization of the gear fault occurring in a wheel located in the intermediate shaft can be particularly complex due to the superposition of the vibration signature of the synchronous wheels. Indeed, the gear fault detection is commonly restricted to the identification of the stage containing the faulty gear rather than the faulty gear itself. In this context, the paper advances a methodology which combines the Empirical Mode Decomposition and the Time Synchronous Average in order to separate the vibration signals of the synchronous gears mounted on the same shaft. The physical meaningful modes are selected by means of a criterion based on Pearson’s coefficients and the fault detection is performed by dedicated condition indicators. The proposed method is validated taking into account simulated vibrations signals and real ones.http://dx.doi.org/10.1155/2017/8345704
collection DOAJ
language English
format Article
sources DOAJ
author M. Buzzoni
E. Mucchi
G. D’Elia
G. Dalpiaz
spellingShingle M. Buzzoni
E. Mucchi
G. D’Elia
G. Dalpiaz
Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
Shock and Vibration
author_facet M. Buzzoni
E. Mucchi
G. D’Elia
G. Dalpiaz
author_sort M. Buzzoni
title Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
title_short Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
title_full Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
title_fullStr Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
title_full_unstemmed Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm
title_sort diagnosis of localized faults in multistage gearboxes: a vibrational approach by means of automatic emd-based algorithm
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2017-01-01
description The gear fault diagnosis on multistage gearboxes by vibration analysis is a challenging task due to the complexity of the vibration signal. The localization of the gear fault occurring in a wheel located in the intermediate shaft can be particularly complex due to the superposition of the vibration signature of the synchronous wheels. Indeed, the gear fault detection is commonly restricted to the identification of the stage containing the faulty gear rather than the faulty gear itself. In this context, the paper advances a methodology which combines the Empirical Mode Decomposition and the Time Synchronous Average in order to separate the vibration signals of the synchronous gears mounted on the same shaft. The physical meaningful modes are selected by means of a criterion based on Pearson’s coefficients and the fault detection is performed by dedicated condition indicators. The proposed method is validated taking into account simulated vibrations signals and real ones.
url http://dx.doi.org/10.1155/2017/8345704
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AT gdelia diagnosisoflocalizedfaultsinmultistagegearboxesavibrationalapproachbymeansofautomaticemdbasedalgorithm
AT gdalpiaz diagnosisoflocalizedfaultsinmultistagegearboxesavibrationalapproachbymeansofautomaticemdbasedalgorithm
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