Vibration sensors come in different forms, but the most widely used are piezoelectric accelerometers: devices that translate the mechanical force generated by a change in motion into a proportional electrical charge.
Optimizing maintenance stops in a hot rolling mill is easier said than done. Start with a variety of developing faults you need to correct before they fail, spread them over more assets than you have time to check, and add…
Download The condition monitoring comparison guide for hot strip mills to find out which technique is right for your mill.
To help plants and factories get the most out of the motors they have, I’ve collected a handful of tips in this post (primarily focused on IEC low-voltage motors). By carefully applying these tips in practice, you’ll significantly improve the reliability and lifespan of your electric motors, and also lower your energy costs.
Acoustic emission analysis (also known as sonic analysis) emerged in 1970 as a condition monitoring technique. It makes use of sensors placed on the asset (called structure-borne analysis) or very near it (airborne analysis).
Oil analysis was first used in 1946, when the US railroad industry analyzed diesel engine lubricant to detect component wear and tear.
In this report, we explain exactly how SAM4 detects common faults in industrial pumps using actual results from anonymized SAM4 data, to help engineers evaluate SAM4’s value for their own operations.
- Technical documents
- White papers
“What are the best KPIs to measure how well my maintenance team is performing?” That question inspired me to write this post. I’ve done some research and assembled what I believe are the most meaningful KPIs, divided into categories.
SAM4 is a predictive maintenance system that helps maximize asset uptime by detecting developing faults up to five months ahead. But there’s another plus: that same data provides concrete insights that enable energy and carbon reductions.
- White papers