October 2024

A mindset of over-confidence in the principles without the action to support it can lead to a modern-day “counting your chickens before they hatch” scenario, meaning that mistakes are more likely to occur, risking the future of a plant transforming into a world-class facility.

On this episode of Gear Talk, Wes Cash chats with special guest Lisa Williams about how on-site oil analysis can help catch failures faster in heavy industry and manufacturing and provide rapid, reliable information on the machines that facilities rely on for uptime and profitability.

When it comes to maintaining the reliability of machines, especially in environments where downtime is costly, having the right equipment is essential. This is particularly true in lubrication management, which can make or break the longevity of your machinery.

An oil filter's role is to cleanse oil from destructive contaminants and is an integral part of equipment in every industry. By understanding an oil filter's anatomy, facilities can select the right one to meet a variety of needs.

We're joined by Lisa Williams with AMETEK Spectro Scientific to discover how machine learning is transforming oil analysis, enabling predictive maintenance, improving anomaly detection, and integrating vast amounts of data to provide a more accurate picture of machine health.

Oil is the life of any hydraulic or lubrication system. When it is fresh and healthy, the system operates as intended. As it ages and loses its properties, issues occur and systems fail. By collecting and analyzing real-time data, prevention is possible.

Because particles cause so many problems, the very best oil analysis programs incorporate some degree of on-site analysis. The simple patch test allows for the quick detection of abnormal contamination levels and wear debris so that corrective actions can be scheduled accordingly.