According to the Danish Maintenance Association (DDV), machinery maintenance is estimated to cost Danish manufacturing companies DKK 25 billions each year. Additionally, it is estimated that there is a globally cost reduction of $240 - $630 billions in 2025, thanks to the implementation of predictive maintenance .
everything about predictive maintenance
We are often asked to explain the difference between Condition-Based Maintenance and Predictive Maintenance. This blog post will give you a comprehensive understanding of the similarities and differences between Condition-Based Maintenance and Predictive Maintenance.
In this blog post, we will talk about how we can use an unsupervised learning algorithm to start creating value as fast as possible.
In this blog post, we will use data from 51 sensors to predict the probability of a future breakdown on a water pump.
Unplanned downtime is costly in many aspects within manufacturing. It reduces delivery capability, customer satisfaction, and increases overall costs. So which maintenance approach should we use to reduce the frequency of downtime?
One of the top applications of artificial intelligence and machine learning is predictive maintenance - Forecasting the probability of machinery breaking down in order to perform service before the damage is done.