Predictive Maintenance Solution Template

Kevin Feasel



Jaya Mathew has a SQL Server R Services template for predictive maintenance:

To illustrate the scenario, we will focus on companies who operate machines which encounter mechanical failures. These failures lead to downtime which has cost implications on any business, hence most companies are interested in predicting the failures ahead of time so that they can proactively prevent them. This scenario is aligned with an existing R Notebook published in the Cortana Intelligence Gallery but works with a larger dataset where we will focus on predicting component failures of a machine using raw telemetry, maintenance logs, previous errors/failures and additional information about the make/model of the machine. This scenario is widely applicable for almost any industry which uses machines that need maintenance. A quick overview of typical feature engineering techniques as well as how to build a model will be discussed below.

Understanding when machines are likely to break down is a very interesting statistical problem.  Check out the template.

Related Posts

ggplot2 Geoms And Aesthetics

Tyler Rinker digs into ggplot2’s geoms and aesthetics: I thought it my be fun to use the geoms aesthetics to see if we could cluster aesthetically similar geoms closer together. The heatmap below uses cosine similarity and heirarchical clustering to reorder the matrix that will allow for like geoms to be found closer to one […]

Read More

Legible Function Chaining In R

John Mount shows a few techniques for legible function chaining with R: The dot intermediate convention is very succinct, and we can use it with base R transforms to get a correct (and performant) result. Like all conventions: it is just a matter of teaching, learning, and repetition to make this seem natural, familiar and legible. My […]

Read More


September 2016
« Aug Oct »