Mantenimiento predictivo

Amplíe flujos de trabajo de deep learning con aplicaciones de mantenimiento predictivo

Aplique deep learning al mantenimiento predictivo con Deep Learning Toolbox™ y Predictive Maintenance Toolbox™. Puede entrenar redes neuronales profundas para realizar distintas tareas de mantenimiento predictivo, como detecciones de errores y estimaciones de vida útil restante.

Temas

Generate Synthetic Signals Using Conditional GAN
Use a conditional generative adversarial network to produce synthetic data for model training.
Chemical Process Fault Detection Using Deep Learning
Use simulation data to train a neural network than can detect faults in a chemical process.
Rolling Element Bearing Fault Diagnosis Using Deep Learning
This example shows how to perform fault diagnosis of a rolling element bearing using a deep learning approach.
Remaining Useful Life Estimation Using Convolutional Neural Network
This example shows how to predict the RUL of engines using deep convolutional neural networks (CNN).
Anomaly Detection in Industrial Machinery Using Three-Axis Vibration Data
Detect anomalies in industrial-machine vibration data using machine learning and deep learning.
Battery Cycle Life Prediction Using Deep Learning
Predict the remaining cycle-life of a fast charging Li-ion battery by training a deep neural network.