Podcasts
Podcast: Predictive maintenance in manufacturing – An IIoT journey
January 31, 2024
By Omron Automation Americas
Brought to you by
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 the 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.
Machine Language: The Podcast covers the latest news, technologies and trends in industrial automation for the manufacturing market through interviews with industry experts.
Topics are related to automation and machinery, including safety integration, robotics and sensors, motion control, software solutions, Industry 4.0 and the IIoT, cybersecurity and networking, and artificial intelligence.
Find all of our episodes on MA’s Podcasts page or on Annex Business Media’s site, as well as on Annex Business Media’s SoundCloud and iTunes accounts.
If you have an idea for a Machine Language podcast episode, email srayghosh@annexbusinessmedia.com.
