Supercharging Oil Analysis with AI

For many years, the process of analyzing lubricants, coolants and fuels to improve the reliability and maintenance of machines has remained relatively unchanged. Fluids typically are sampled from an asset on a regular cadence and sent to a lab to be processed. The results are interpreted by experts or simple rules-based analysis, and a report is returned. The asset owner must then use the report to decide whether to take action or continue normal operation. Although laboratory analysis produces extremely valuable data, the process can become somewhat cumbersome and may not provide a consistent spectrum of deep insights that asset owners need to increase performance and reliability.

 

Supercharging Oil Analysis with AI