Unlocking the Power of Predictive Maintenance - Part 2: Navigating Data Challenges in Predictive Maintenance
In our previous post, we unveiled the exciting world of Predictive Maintenance, exploring its potential and practical applications. If you didn’t read it already, the link is here (Unlocking the Power of Predictive Maintenance - Part 1: The Promise and Challenges of Predictive Maintenance). In this post, we dive deeper into the data itself. We will uncover the intricacies of the data involved, the challenges it presents, and the crucial steps needed to begin building predictive models. The Collected Data Once we’ve gathered the data, we need to start processing it. Whilst pre-processing to clean the data is essential, here we will just focus on the additional key aspects critical to Predictive Maintenance. Often, we need to reduce the data volume whilst preserving quality and features…