Completed
Machine Learning
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Classroom Contents
Know Thy Operator
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- 1 Intro
- 2 Motivation
- 3 Overview of Example Industrial Process
- 4 Resources from plant
- 5 Simplified Process Diagram (DCS)
- 6 Industrial Database
- 7 Understanding the Data
- 8 Data Collection Points (Control Loops)
- 9 Temporal Alignment Problem
- 10 Variability Challenges in Establishing Ground Truth
- 11 Machine Learning
- 12 Supervised learning for tracing sources of variability
- 13 Further Correlation Analysis
- 14 Behavior Based Event Detection System for Industrial Facilities
- 15 Advantage over Current State of the Art
- 16 Overview of Toolkit Flow
- 17 Feature Selection
- 18 The Cluster Tuning Algorithm
- 19 The K-Means Algorithm
- 20 Threshold Optimization
- 21 GUI FOR Cluster Tuning
- 22 Operator in the Loop
- 23 State of Health Assessment
- 24 Conclusion
