Maintenance Strategy

Top 5 Plant Engineering articles July 8-14

Articles about maintenance process redesign, smart manufacturing, lubrication and bearings, predictive maintenance obstacles, and safety best practices were Plant Engineering’s five most clicked articles from July 8-14. Miss something? You can catch up here.
By Chris Vavra July 15, 2019
Once the testing modalities are chosen, devices can be selected and installed on assets. The devices and assets chosen will help prove the case for predictive maintenance efforts. Courtesy: Fluke Corp.

The top 5 most read articles online, from July 8-14 for Plant Engineering covered maintenance process redesign, smart manufacturing, lubrication and bearings, predictive maintenance obstacles, and safety best practices. Links to each article below.

1. Redesigning maintenance processes to optimize PdM automation

Set the stage for a successful transition from manual to IIoT-enhanced, predictive maintenance processes.

2. Smart manufacturing opens the door to real-time data

Smart manufacturing and the Industrial Internet of Things (IIoT)-enabled technologies can use real-time data to optimize processes and reduce costs for manufacturers.

3. Understanding lubrication from the bearing’s perspective

Many factors can impact how proper use can avoid friction.

4. Overcoming predictive maintenance obstacles

There are several key barriers to the implementation of predictive maintenance technologies, but they can be alleviated.

5. Stop! In the name of safety

Workers should be encouraged to halt a job when risks appear.

The list was developed using CFE Media’s web analytics for stories viewed on plantengineering.com, July 8-14, for articles published within the last two months.

Chris Vavra, production editor, CFE Media, cvavra@cfemedia.com.


Chris Vavra
Author Bio: Chris Vavra has been production editor for Control Engineering since 2014 and has worked for the magazine since 2011. He edits articles on all automation topics and has written on topics including robotics, power generation, IIoT, AI/machine learning, and more. He has a Bachelor of Arts in English Literature degree from North Central College and is also a self-published crime/mystery novelist on Amazon.