Managing Asset Health by Combining Behavior Patterns with FMEA
As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive maintenance technology with FMEA tools, companies can associate causation with known failures and their suggested FMEA remedies – leading to earlier intervention, minimized equipment damage, fewer process interruptions and improved production yields.
AspenTech’s Mike Brooks and John Campbell share how ‘Smart’ FMEA combined with Aspen Mtell® predictive maintenance can help you:
- Detect and mitigate issues early to avoid production losses
- Improve maintenance planning by connecting Aspen Mtell alerts to known FMEA codes
- Monitor process and machine sensor data to identify new failure signatures and anomalous behavior for improved asset health
Learn how today’s leading companies are combining traditional FMEA and machine learning for holistic asset health management.
