Getting Started with Predictive Maintenance Models - Silicon Valley Data Science

In a previous post, we introduced an example of an IoT predictive maintenance problem. We framed the problem as one of estimating the remaining useful life (RUL) of in-service equipment, given some past operational history and historical run-to-failure data. Reading that post first will give you the best foundation for this one, as we are using the same data. In this post, we'll start to develop an intuition for how to approach the RUL estimation problem. As with everything in data science, there are a number of dimensions to consider, such as the form of model to employ and how to evaluate different approaches.