Predictive Maintenance Solution

What is the main goal for this project?
The goal of this project is to build a predictive maintenance solution using Deep Learning. This will involve several steps including but not limited to:

• Analyzing existing data related to the company's advanced manufacturing processes.
• Extracting right features automatically using Deep Learning.
• Generate labels, perform Data Preprocessing, apply normalization.
• Handle Imbalanced Data using relevant techniques.
• Developing a predictive maintenance model using Deep Learning.
• Optimizing model performance and assessing areas for improvement.
• Testing the developed model and making improvements based on additional data.

DUTIES AND RESPONSIBILITIES
By the end of the project:

• Understanding of Advanced Manufacturing processes and data.
• Understanding of variables that affect the accuracy of the predictive maintenance model.
• Identification of areas for future improvement of the model.
• Testing the developed model with data and accounting for additional parameters.

Final deliverables should include:

• All source code.
• A written report explaining the design process and outcomes.

SKILLS TO BE DEVELOPED
As part of doing this project, interns can expect to be upskilled on below:

• Predictive maintenance models and data analysis.
• Python, Neural Network, Classification, Regression, Machine learning.
• Deep Learning techniques such as LSTM.