Buscar en RiuNet

Listar

Mostrando ítems 1-3 de 3

A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors

Barrera-Llanga, Kevin; Burriel-Valencia, Jordi; Sapena-Bano, Angel; Martinez-Roman, Javier (MDPI AG, 2023-10)

[EN] Induction machines (IMs) play a critical role in various industrial processes but are susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic techniques are essential in addressing these ...
Modelado, control y análisis térmico de una máquina asíncrona de inducción conectada a una carga resistente

Molino Díaz, Jorge (Universitat Politècnica de València, 2020-10-19)

[ES] El presente proyecto consiste en el modelado de una máquina asíncrona de inducción, trabajando como motor, conectada a distintos casos de carga resistente mediante un acoplamiento que transmita la velocidad de rotación ...
Partial Inductance Model of Induction Machines for Fault Diagnosis

Pineda-Sanchez, Manuel; Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Riera-Guasp, Martín; Pérez-Cruz, Juan (MDPI AG, 2018)

[EN] The development of advanced fault diagnostic systems for induction machines through the stator current requires accurate and fast models that can simulate the machine under faulty conditions, both in steady-state and ...

Mostrando ítems 1-3 de 3