Article ID: | iaor201527502 |
Volume: | 88 |
Issue: | 4 |
Start Page Number: | 63 |
End Page Number: | 77 |
Publication Date: | Oct 2015 |
Journal: | Computers & Industrial Engineering |
Authors: | Tahon Christian, Chaabane Sondes, Sun Ying, Harrou Fouzi, Kadri Farid |
Keywords: | statistics: regression, management, quality & reliability |
Monitoring of production systems, such as those in hospitals, is primordial for ensuring the best management and maintenance desired product quality. Detection of emergent abnormalities allows preemptive actions that can prevent more serious consequences. Principal component analysis (PCA)‐based anomaly‐detection approach has been used successfully for monitoring systems with highly correlated variables. However, conventional PCA‐based detection indices, such as the Hotelling’s