For reliability engineers, Failure Modes and Effects Analysis (FMEA) is a step-by-step process for identifying and tracking the various ways an asset or equipment can fail. But despite its merits, FMEA is labor intensive, typically used only for critical equipment and does not sufficiently use data to improve its capability.
New advancements in prescriptive maintenance detect problems much earlier by analyzing unseen behavioral patterns and using autonomous agents to continuously self-learn and improve upon results over time.
Join our experts to learn how autonomous agents with advanced analytics can help you:
- Make FMEA more automated, data-driven and accurate
- Leverage “smart” FMEA solutions to effectively intervene earlier when signals are spotted
- Reduce costly downtime and maintenance; improve asset performance
Watch the on-demand webinar now!