The role of predictive maintenance

Christian Barra

Predictive maintenance is a maintenance strategy that uses data and analytics to predict when equipment is likely to fail or need maintenance. Allowing maintenance to be scheduled in advance, rather than waiting for the equipment to break down.

It enables maintenance teams to being proactive instead of being proactive.

Predictive maintenance is becoming increasingly popular as a way to reduce downtime and improve equipment efficiency. And the IIoT is playing a key role in making it possible.

One of the main benefits of predictive maintenance is that it allows companies to schedule maintenance at a time that is convenient for them, rather than having to deal with unexpected downtime.

This can help to reduce the impact of equipment failures on production, as well as reducing the cost of emergency repairs.

As such it plays a fundamental role in reducing operating costs for manufacturing companies.

To implement a predictive maintenance strategy, companies need to collect data from their equipment in real-time and send data back to a central system where it can be analyzed.

By analyzing this data, it is possible to identify patterns and trends that can indicate when equipment is likely to fail, allowing maintenance to be scheduled in advance.

Though predictive maintenance is a powerful tool there are many challenges.

One of the key challenges of implementing a predictive maintenance strategy is the know-how and knowledge required.

You need to select the right IoT sensors, provide connectivity and being able to collect a huge amount fo data.

If that is not enough predictive maintenance requires the use of advanced analytics techniques, like machine learning, to identify patterns and trends in the data.

While implementing a predictive maintenance strategy can be challenging, the benefits are clear.

That's why platform like Machinalia can help. With our self-service sensors and platform you can start your predictive maintenance strategy in a couple of weeks instead of months.

Want to learn more? Check our predictive maintenance platform.