Enabling Predictive Maintenance in Industrial Operations with InfluxDB
Predictive maintenance is an approach to industrial operations that uses advanced analytics, machine learning, and artificial intelligence to predict when industrial equipment or specific components will fail. Companies that embrace predictive maintenance can increase the lifespans and productivity of their industrial equipment, and optimize processes to improve industrial output, all while reducing costs.
This technical paper discusses what predictive maintenance is, examines different techniques for analyzing industrial equipment, and reveals how time series data is at the heart of everything. You’ll also learn how a time series database, like InfluxDB, can manage the vast array of time-stamped data from industrial machines to ensure that advanced analytics solutions have what they need to make accurate predictions.
In this technical paper you will learn:
- What predictive maintenance is and how it works
- The benefits of predictive maintenance and how to get started
- Some potential challenges with predictive maintenance to watch out for, as well as some real-world examples of predictive models in action.
