Fault detection in gear box with induction motors: an experimental study

Carlos Verucchi; Guillermo Bossio; Jose Bossio; Gerardo Acosta

doi:10.1109/tla.2016.7555245

Fault detection in gear box with induction motors: an experimental study

IEEE Latin America Transactions ◽

10.1109/tla.2016.7555245 ◽

2016 ◽

Vol 14 (6) ◽

pp. 2726-2731 ◽

Cited By ~ 3

Author(s):

Carlos Verucchi ◽

Guillermo Bossio ◽

Jose Bossio ◽

Gerardo Acosta

Keyword(s):

Experimental Study ◽

Fault Detection ◽

Induction Motors ◽

Gear Box

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Fault Detection of Induction Motors Using Just In Time Classifiers

2021 7th International Conference on Control, Instrumentation and Automation (ICCIA) ◽

10.1109/iccia52082.2021.9403546 ◽

2021 ◽

Author(s):

Saaeede Hazbavi ◽

Roozbeh Razavi-Far ◽

Mohammad Mehdi Arefi ◽

Alireza Khayatian ◽

Mehrdad Saif

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Just In Time

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Bearing Fault Detection in Induction Motors Employing Difference Visibility Graph

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) ◽

10.1109/pedes49360.2020.9379635 ◽

2020 ◽

Author(s):

Sayanjit Singha Roy ◽

Soumya Chatterjee ◽

Ritwick Barman ◽

Saptarshi Roy ◽

Sayantan Dey

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Visibility Graph ◽

Bearing Fault ◽

Bearing Fault Detection

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Triaxial Smart Sensor Based on the Advanced Analysis of Stray Flux and Currents for the Reliable Fault Detection in Induction Motors

2020 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce44975.2020.9235938 ◽

2020 ◽

Author(s):

Israel Zamudio-Ramirez ◽

Roque A Osornio-Rios ◽

Jose Antonino-Daviu

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Smart Sensor ◽

Advanced Analysis

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Fault Detection and Isolation of Electrical Induction Motors via LPV Fault Observers

IFAC Proceedings Volumes ◽

10.3182/20120829-3-mx-2028.00112 ◽

2012 ◽

Vol 45 (20) ◽

pp. 800-805 ◽

Cited By ~ 3

Author(s):

A. Casavola ◽

G. Gagliardi

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Fault Detection And Isolation ◽

Electrical Induction

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A computer-aided test bench system for teaching and research on fault detection in three-phase induction motors

2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII) ◽

10.1109/concapan.2017.8278468 ◽

2017 ◽

Author(s):

D. Sotomayor ◽

D. Arcos-Aviles ◽

S. Castellanos ◽

D. Benitez

Keyword(s):

Fault Detection ◽

Test Bench ◽

Induction Motors ◽

Teaching And Research ◽

Three Phase ◽

Computer Aided ◽

Computer Aided Test

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Influence of blade pass frequency vibrations on MCSA-based rotor fault detection of induction motors

2016 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce.2016.7855199 ◽

2016 ◽

Cited By ~ 2

Author(s):

Yonghyun Park ◽

Myung Jeong ◽

Sang Bin Lee ◽

Jose Alfonso Antonino-Daviu ◽

Mike Teska

Keyword(s):

Fault Detection ◽

Induction Motors

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Experimental study on stray load loss during high-speed constant-voltage operation of squirrel-cage induction motors - the influence of gap length on 4- and 8-pole induction motors -

2009 International Conference on Electrical Machines and Systems ◽

10.1109/icems.2009.5382968 ◽

2009 ◽

Author(s):

Isao Hirotsuka ◽

Kazuo Tsuboi ◽

Kunihiro Kawakami ◽

Hidemi Matsuura ◽

Takayuki Mizuno

Keyword(s):

Experimental Study ◽

High Speed ◽

Induction Motors ◽

Constant Voltage ◽

Squirrel Cage ◽

Stray Load Loss

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Application of infrared thermography to fault detection in industrial induction motors: Case stories

2016 XXII International Conference on Electrical Machines (ICEM) ◽

10.1109/icelmach.2016.7732823 ◽

2016 ◽

Cited By ~ 3

Author(s):

D. Lopez-Perez ◽

J. Antonino-Daviu

Keyword(s):

Fault Detection ◽

Infrared Thermography ◽

Induction Motors ◽

Case Stories

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Induction Motors Fault Detection Using Square-Root Transformed Cubature Quadrature Kalman Filter

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2018.2877781 ◽

2019 ◽

Vol 34 (2) ◽

pp. 870-877 ◽

Cited By ~ 4

Author(s):

Jafar Zarei ◽

Elham Kowsari ◽

Roozbeh Razavi-Far

Keyword(s):

Kalman Filter ◽

Fault Detection ◽

Induction Motors ◽

Square Root

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Oil Whirl Fault Detection in Induction Motors Using Orbital Analysis and Neural Networks

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 - Lecture Notes in Networks and Systems ◽

10.1007/978-3-319-56994-9_20 ◽

2017 ◽

pp. 286-296

Author(s):

José Juan Carbajal Hernández ◽

Gabriel Longoria Cordero ◽

Luis Pastor Sánchez Fernández

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Induction Motors ◽

Oil Whirl ◽

Orbital Analysis

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