Abstract: Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the ...
Abstract: As an efficient feature engineering tool, principal component analysis (PCA) has been widely used for feature extraction in the past decades. While a deep form of PCA has been developed for ...
This project analyzes the U.S. Treasury yield curve using PCA to decompose yield changes into interpretable factors. The first three principal components typically explain 95-99% of yield curve ...
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