Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator-Reference-Cited by-同舟云学术

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Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Soualhi M.¹,Zerhouni N.¹,Soualhi A.²,Hemsas K. E.³,Nguyen T. P. K.⁴,Medjaher K.⁴

Affiliation:

1. Universite de Bourgogne Franche-Comté, CNRS/UFC/ENSMM,FEMTO-ST,Besançon,France,25000

2. Université de Lyon,LASPI, UJM-Saint Etienne,Roanne Cedex,France,42334

3. Université Ferhat Abbas Sétif 1,LAS, UFAS 1, Génie Eléctrique,Algérie,19137

4. Universite de Toulouse,LGP, INPT-ENIT,Tarbes,France,65000

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803856/9803880/09804154.pdf?arnumber=9804154

Reference17 articles.

1. An automated health indicator construction methodology for prognostics based on multi-criteria optimization;nguyen;ISA Transactions,2020

2. Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm

3. Early detection of bearing faults by the Hilbert-Huang transform

4. Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations

5. Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

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