Remaining Useful Life Estimation using Convolutional Neural Network

Objective

The objective was to create a documnetation example that guides customers regarding employing a deep learning approach for predictive maintenance of industrial machinary.

Methodology

• Implemented a deep learning approach for RUL estimation and compared performance with parametric models.
• Created a documentation example using MATLAB Deep Learning Toolbox and Turbofan Engine Degradation Simulation Data Set

Tools & Technologies

MATLAB DeepLearning Toolbox, Predicitve Maintenance, CNN, PyTorch