Kickstarting condition-based maintenance with a Connected Reliability Assessment

Kickstarting condition-based maintenance with a Connected Reliability Assessment

Just like every facility is different, every maintenance operations team faces different challenges in reaching their next equipment reliability goal. One obstacle in particular is more common these days, however. With the current pressures facing plant operations, many teams would like to start using digitalized condition monitoring or connected sensors on the Industrial Internet of…

Achieve industrial safety and reliability: FRS on the Industrial Talk podcast

Achieve industrial safety and reliability: FRS on the Industrial Talk podcast

Mike Mills, CRL, Senior Sales Engineer at Fluke Reliability, recently appeared on the Industrial Talk Podcast with Scott MacKenzie. Mills talked about industrial safety and reliability through a focus on continuity, agility, and repeatability. One of the many impacts of COVID-19 has been staffing—many organizations have not been able to have as many people on…

How to connect a facility ─ even when the customer is skeptical

How to connect a facility ─ even when the customer is skeptical

Excerpts from a podcast with Kevin Clark, CMRP  Kevin Clark, former Vice President of Fluke Reliability Solutions, spent more than 35 years in manufacturing, first as a wrench-turner and eventually as an expert in digital maintenance systems. He recently sat down with IIoT podcaster Dez Blanchfield to share some of his experiences. You can listen…

How to Make Data-driven Decisions with Connected Reliability

How to Make Data-driven Decisions with Connected Reliability

The push to transition to more sophisticated digital tools, such as computerized maintenance management systems (CMMS) software and condition monitoring sensors, is inescapable. By integrating condition monitoring data with CMMS software, maintenance and reliability (M&R) professionals receive an overall view of asset health and maintenance activities in real-time—all in one place. Gather the data Most…