There is a lot of discussion about artificial intelligence (AI), internet of things (IoT) and how these can be applied in all areas of reliability programs, particularly oil analysis.

In this technology, many users struggle to understand and trust how alarms are set, maintained, and adapted to meet the changing conditions with lubricated mechanical equipment. All of these intelligence initiatives are ineffective if the data is not trustworthy.

Oil analysis alarms, and the application of them, have been developed and applied by laboratories and entities with large historical databases. As more equipment maintainers move to performing oil analysis onsite with the latest technologies, the alarms provided may not work to determine real faults. It is important to understand the basics of setting up alarms for your onsite program, and what is really needed for your site. And, most importantly — you can do it on your own schedule with the resources at hand.

This article outlines a five-part approach for setting, maintaining, and using meaningful oil analysis parameter alarms. This standardized alarm limit approach within onsite oil analysis is also relevant for AI and IoT processes.

Five Steps to Trustworthy Oil Analysis Alarm Limits 

1. Lubrication personnel
2. Onsite advantage
3. Data quality
4. Recommended actions
5. Equipment profiles

Read the article to learn more.