An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability

The control charts with the Principal Component Analysis (PCA) approach and its extension are among the data-driven methods for process monitoring and the detection of faults. Industrial processing data involves complexities such as high dimensionality, auto-correlation, and non-stationary which may...

Ausführliche Beschreibung