Modern plants and factories have up to thousands of PID control loops. Keeping track of the control performance and quality can be challenging but undetected control issues have very significant impact on product quality, production efficiency & volume, safety & Environment risks, maintenance costs.
This is why we developed a new module for Yanomaly: the Control Performance Degradation Detector (CPDD).
This is why we developed a new module for Yanomaly: the Control Performance Degradation Detector (CPDD).
The CPDD detects degrading control performance and anomalous bad behavior of control loops and works with any (PID or other) controller.
By applying AI on top of KPIs and metrics usually found in CLPM (Control Loop Performance Monitoring) tools, it learns what the normal performance is, then alerts if a control loop becomes worse. This avoids unnecessary alerts on control loops that always had a bit of oscillation or sluggishness because that was found acceptable or the best compromise.
By applying AI on top of KPIs and metrics usually found in CLPM (Control Loop Performance Monitoring) tools, it learns what the normal performance is, then alerts if a control loop becomes worse. This avoids unnecessary alerts on control loops that always had a bit of oscillation or sluggishness because that was found acceptable or the best compromise.
Sluggish control, Oscillations / bad tuning, Saturation, Stiction / static friction and many more common and less common control issues are detected automatically.
With its fast setup, auto-configuration for different loop dynamics and operating modes and programming-free user interface, the CPDD delivers immediate value and retains Yanomaly’s flexible on-premise or in the cloud deployment and easy integration with any data collection platform: OPC server, data historian,…
