Using big data analytics for maintenance optimization and machine reliability

The idea of the project is using big data and big data analytics analyze the machine lifetime and to predict future failure and guides the predictive maintenance strategy to optimize the equipment and machinery reliability in utility sector. By using the parameters which comes out of the machine such as vibration, Temperature, pressure, etc.the utilization of big data analytics and predictive maintenance will improve lifespan , reduce cost and enhance performance of machinery by minimizing the downtime.

This project will require creating a new framework or customizing an existing framework from articles and literatures