Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
The importance of selecting the optimal number of principal components for fault detection using principal component analysis
Includes summary.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: The importance of selecting the optimal number of principal components for fault detection using principal component analysis
- Robust principal component analysis biplots
- Monitoring of froth systems using principal component analysis
- The identification and application of common principal components
- Hedging Interest-Rate Options Using Principal Components Analysis
- ANOVA bootstrapped principal components analysis for logistic regression
- LABCAT: locally adaptive Bayesian optimization using principal-component-aligned trust regions