Categories: Reliability

How the IoT became the IIoT

Manufacturing operations are predicted to be one of the biggest winners of the Industrial Internet of Things (IIoT) transformation. Using condition monitoring sensors and software, innovators have an opportunity to wirelessly leapfrog over brownfield infrastructure, automate asset-health data collection, and feed it into predictive maintenance analytics engines. Machine failures could be predicted well in advance and condition-based maintenance would become the norm, allowing operations to achieve higher uptime and greater overall efficiency.

Here’s a look at how it all started and where we may be headed.

Recent Posts

Thermography as a condition detective: The secret sauce to uptime

Subject-matter expert Craig Haase provides a primer on thermography in maintenance and reliability and how…

May 5, 2021

Gain deep insights into bearing health with ultrasonic analysis

Friction is inherent in all machine bearings. When this friction starts to change, ultrasonic analysis…

April 21, 2021

Defect elimination programs change the culture by solving lots of little problems first

A defect elimination program targets the smallest, most irritating problems in a plant. It does…

April 12, 2021

The exponential power of daily improvement

Calvin Williams has helped numerous companies build continuous improvement programs. In this webinar, he discusses…

April 8, 2021

Adding business value through data-driven maintenance

By Ankush Malhotra President at Fluke Reliability Every day, in manufacturing facilities worldwide, experienced and…

March 29, 2021

Get more value from your CMMS (Part II): Integrations for improving machine health

You may be surprised by how supercharged your CMMS can be when connected to more…

March 24, 2021