EnTech Process Analysis and Minimizing Variability
Course 9031 CEUs: 2.8
This course is for engineers, or persons with equivalent math and theoretical background, who have responsibility for process control design and implementation, process optimization, instrumentation engineering, or process design and troubleshooting.
Overview
PCE II is a 4-day course that provides a knowledge of the techniques used to troubleshoot process and control problems, improve performance and reduce variability in processes. Time series analysis, including power spectrum and autocorrelation function, are presented as tools for process and control auditing. The course uses formal lectures that are highlighted with an ample repertoire of process examples and hands-on lab exercises. High fidelity process simulators are used as the basis for the labs and situation analyses.
Prerequisites
Participants should have taken Process Dynamics, Control and Tuning Fundamentals (Process Control for Engineers I) or have similar knowledge. The simulators used in the course are similar to those used in Process Control for Engineers I.
Topics
• Review - Topics Presented in PCE I
• Use of Software for Identification of Process Dynamics, Lambda Tuning, Time Series Analysis
• Controller Tuning Troubleshooting - Dynamic Loop Interaction Problems
• Digital Control - Digital Controllers and Digital Sensors
• Signal Quantization, Signal Aliasing and Signal Filtering
• Time Series Analysis
• Power Spectrum
• Auto/Cross Correlation Function
• Interpreting Plant Process Data
• Process and Control Auditing Techniques
• Control Loop Evaluation- Power Spectrum
• Integrated Process and Control Design
• Advanced Process Control
• Mini-Audit Exercise
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North America