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Diagnosis of Failure Severity Level in Gearboxes Using the Estimated Load Torque Signal Through Mathematical Modeling
Llerena Pizarro, Omar Rosendo
(Col)
Sanchez Loja, Rene Vinicio
(Col)
Cabrera Mendieta, Diego Roman
(Col)
Lucero Otorongo, Pablo Moises
(External)
Macancela Poveda, Jean Carlo
(External)
Ortiz Farfan, Christian German
(Student)
Perez Rivera, Ivan Andres
(External)
Pacheco Cordova, Edison Eugenio
(External)
Vacacela Costa, Andres Segundo
(Student)
Pacheco Montilla, Fannia Karolina
(External)
Villacis Marin, Mauricio Leonardo
(Col)
Guaman Buestan, Adriana Del Pilar
(Col)
Torres Diaz, Cristian Paul
(External)
Vásquez, Rafael
(External)
Chingal Imaicela, David Esteban
(External)
Siguencia Urgiles, Julio Fernando
(External)
Cajas Muñoz, Franco David
(External)
Ortega Lucero, Luis Renato
(Student)
Llivicura Orellana, Holger Florencio
(Student)
Calle Lazo, Ana Karla
(Student)
Li, Chuan
(External)
Zambrano Mendoza, Jonathan Xavier
(Student)
Montalvo Ureta, Douglas Vladimir
(Student)
Research and Development Group in Industrial Technologies (GIDTEC)
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Keyphrases
Load Torque
100%
Torque Signal
100%
Gearbox
100%
Failure Severity
100%
Control Automation
100%
Mathematical Modeling
100%
Line Control
100%
Control Engineering
100%
Severity Levels
100%
Engineering Technology
100%
Automation Technology
100%
INIS
levels
100%
control
100%
signals
100%
mathematical models
100%
failures
100%
engineering
100%
automation
100%
torque
100%
Engineering
Severity Level
100%
Load Torque
100%
Gearbox
100%
Mathematical Modeling
100%
Control Engineering
100%