Deep learning

Electrical engineering

Pattern recognition (psychology)

Downtime

Mathematics

Operating system

Engineering

Autoregressive model

Voltage

Actuator

Rotor (electric)

Squirrel-cage rotor

Econometrics

Fault detection and isolation

Artificial intelligence

Computer science

Artificial neural network

Mechanical engineering

Induction motor

Convolutional neural network

Expert Systems with Applications

Deep learning can play a pivotal role in early fault detection in squirrel cage induction motors (SCIMs) and achieving Industry 4.0. SCIM finds applic…

Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors