Experienced maintenance professionals can understand if a machine is healthy or not by walking up to it and using their senses – hearing, touch, smell, and sight. But this skill doesn’t scale when there are more plants than experts. This case study – a TechINSIGHT – shows how IoT maintenance solutions are helping machine analysts be in multiple places at once...
- Brett Burger
- National Instruments
In this interview, we speak with Subbu about his start in the lubricant analysis field, and get his point of view about key tools and changes in the reliability, lubrication, and wireless vibration analysis industries…
- KNV Subrahmanyam
- Single Peak Lube Technologies
Why does our equipment fail? Because we kill it. Regular plant visits shown numerous examples of poor lubricant storage.
- Paul Dufresne
- Reliability Playbook
This case study investigates Duke Energy’s quest to replace its monthly, manual data collection practices with daily, remote data collection and monitoring.
- Alex West
- IHS Markit
If you understand failure patterns and how assets fail, then you can start to develop a strategy. Failure curves can show us...
- Martin Robinson
- IRISS Inc.
It is well known that misalignment is one of the greatest causes of failure in rotating equipment. In fact, research demonstrates that more than 50% of machine breakdowns are the direct result of poor alignment...
- Grant Dennler
When you start implementing an oil analysis program, you need to decide which equipment in the plant to sample...
- Evan Zabawski