Principal component analysis
Principal component analysis is one of the most important and powerful methods in
chemometrics as well as in a wealth of other areas. This paper provides a description of how …
chemometrics as well as in a wealth of other areas. This paper provides a description of how …
On safety design of vehicle for protection of vulnerable road users: A review
X Lv, Z ** strategies and burnout in staff working with students with special educational needs and disabilities
B Brittle - Teaching and Teacher Education, 2020 - Elsevier
Research on special educator burnout has predominantly focused on demographic,
environmental and situational factors, with few studies exploring individual characteristics …
environmental and situational factors, with few studies exploring individual characteristics …
Detection and diagnosis of AHU sensor faults using principal component analysis method
A strategy based on the principal component analysis (PCA) method is developed to detect
and diagnose the sensor faults in air handling units (AHU). Sensor faults are detected using …
and diagnose the sensor faults in air handling units (AHU). Sensor faults are detected using …
Approaches to robust process identification: A review and tutorial of probabilistic methods
Industrial data sets are often contaminated with outliers due to sensor malfunctions, signal
interference, and other disturbances as well as interplay of various other factors. The effect …
interference, and other disturbances as well as interplay of various other factors. The effect …
Robust multi-scale principal components analysis with applications to process monitoring
D Wang, JA Romagnoli - Journal of process control, 2005 - Elsevier
Robust multi-scale principal component analysis (RMSPCA) improves multi-scale principal
components analysis (MSPCA) techniques by incorporating the uncertainty of signal noise …
components analysis (MSPCA) techniques by incorporating the uncertainty of signal noise …