Predictive Maintenance 4.0

Predictive Maintenance 4.0

If you work in the field of manufacturing, it’s likely that you’ve already heard all about industry 4.0 and its benefits. This blog post will take a detailed look at one very interesting aspect of industry 4.0 – predictive maintenance – and provide information on how it works.

Maintenance is a costly part of machine operation, especially if it’s unscheduled and has to be performed during production time. Predictive maintenance can prevent downtime and help you steer clear of costly breakdowns that occur as a result of lack of maintenance.


One key aspect to predictive maintenance is the embedding of digital sensors into machinery. These digital sensors collect important data on lubrication, vibration and temperature and then use this data to predict when a piece of machinery will need maintenance performed on it.

The Internet of Things

Industry 4.0 predictive maintenance will rely heavily on the internet of things, but what exactly is the internet of things and how does it relate to predictive maintenance? Put simply, the internet of things is the interconnection of computing devices that are embedded in a huge range of everyday objects, made possible via the internet. These everyday objects range from smartphones through to car engines, and the interconnection between them and the internet allows for the sending and receiving of important data.

In regards to machinery and predictive maintenance, the internet of things is a crucial aspect, as the sensors embedded in machinery rely on it to take important readings, send and receive data, and ultimately predict when a piece of machinery will need maintenance performed on it. The internet of things even makes it possible to schedule this maintenance to be performed at the best possible time when it will least affect a factory’s productivity.

In Summary

Predictive maintenance in the industry 4.0 era is reliant on the internet of things and requires all machinery to be fitted with appropriate sensors in order to send and receive data. The benefits of predictive maintenance are extensive and include time and money savings.