Andere Kunden interessierten sich auch für
![A Thermodynamic Study of Thermosiphon Loop Heat Pipe]( "A Thermodynamic Study of Thermosiphon Loop Heat Pipe")
A Thermodynamic Study of Thermosiphon Loop Heat Pipe36,99 €![Managing Product Upgrade in Closed Loop Supply Chains]( "Managing Product Upgrade in Closed Loop Supply Chains")
Managing Product Upgrade in Closed Loop Supply Chains44,99 €![On Efficient Performance Monitoring of Control Charts]( "On Efficient Performance Monitoring of Control Charts")
On Efficient Performance Monitoring of Control Charts26,99 €![Performance of Servo-Control Valves Under Extreme Conditions]( "Performance of Servo-Control Valves Under Extreme Conditions")
Performance of Servo-Control Valves Under Extreme Conditions48,99 €![Closing the Loop of Model Predictive Force Control in Milling with Ensemble Kalman Filtering]( "Closing the Loop of Model Predictive Force Control in Milling with Ensemble Kalman Filtering")
Closing the Loop of Model Predictive Force Control in Milling with Ensemble Kalman Filtering39,00 €![Classical Feedback Control with Nonlinear Multi-Loop Systems]( "Classical Feedback Control with Nonlinear Multi-Loop Systems")
Classical Feedback Control with Nonlinear Multi-Loop Systems157,99 €![Loop-Shaping Robust Control]( "Loop-Shaping Robust Control")
Loop-Shaping Robust Control189,99 €
Controller Performance Monitoring involves the following three routine activities: (1) monitor the performance of each loop, (2) isolate poorly performing loops and (3) diagnose the cause of poor performance. A typical processing industry installs several hundreds of control loops to achieve the desired process performance. Recent studies reveal that only about one-third of controllers provide acceptable performance, indicating significant commercial benenfits exist in diagnosing and improving the remaining two thirds of the control loops. Recent surveys indicate that 20% to 30% of all control loops oscillate due to valve problems caused by static friction (also referred as stiction). Two different techniques for diagnosing stiction using routine operating data have been proposed. The success of these approaches is built on a new technique that detects and characterizes oscillations in control loops. An integrated solution strategy to compensate stiction is provided. Stiction detection and diagnosis techniques are validated on a large industrial data set.