Unplanned machine downtime is a major risk for any company. The time spent locating the issue and the maintenance costs all add up quickly.
However, these disruptions are both avoidable and predictable.
Many of us have heard about Predictive Maintenance (PdM) for some time now, and for a good reason. Predictive Maintenance addresses these challenges by continuously monitoring equipment through sensors and data analytics. By analyzing data patterns and trends, it is possible to predict when a piece of equipment is likely to fail, allowing maintenance to be performed at the optimal time.
Now, with advancements in technologies, we can go beyond just being predictive.
Welcome to Predictive Maintenance 4.0 – the next generation of predictive maintenance. Predictive Maintenance 4.0 integrates the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and machine learning (ML) to create a more intelligent, efficient, and automated maintenance process.
By digitizing legacy assets, not only can you achieve a significant reduction in machine downtime, but through advanced analytics you also gain invaluable insights into your core operations – and even enable the development of new business models.