Today, we’ll focus on time series analysis to forecast when the engines are due for maintenance. But, before getting into the time series part, we first have to recap a few processing steps.
In this writing, I just want to give a simple starting point for event predictions without diving deep into machine learning. It can be applied to all prediction problems for event based datasets.
Getting the most out of your Probability to Fail Models. With predictive maintenance problems, there are two common metrics that represent the health of your asset.
I spent roughly four years of my life studying equipment failure problems as a Data Scientist. This article includes the better part of what I learned along the way.