Predictive maintenance in manufacturing: An IIoT journey Annex Business Media: Podcasts

There are different types of maintenance strategies for a manufacturing facility. Predictive maintenance is a condition-based type of strategy, focused on implementing IoT sensors that read data at all times, enabling an intelligent data acquisition that helps address the issue of having a maintenance worker onsite to monitor or read specific data out of a machine.
Industries are looking to implement IIoT strategies through data acquisition, cloud monitoring and big data.

In this episode of Machine Language, Juan Carlos Garcia from Omron Automation joins us to discuss how predictive Maintenance helps address the initial stages of moving towards IIoT by acquiring data.

We discuss role of IoT sensors in predictive maintenance, communication protocols, the concept of on-the-go analytics, examples where predictive maintenance has led to significant cost and time savings, how predictive maintenance acts as a crucial stepping stone for industries looking to implement IIoT strategies, and more.