Fault detection and diagnosis framework using wavelet-based kernel principal component analysis for chemical process systems
Saved in:
Main Author: | Nawaz, Muhammad |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Online Access: | http://utpedia.utp.edu.my/id/eprint/27959/1/Muhammad%20Nawaz_16005727%20.pdf http://utpedia.utp.edu.my/id/eprint/27959/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiscale fault classification framework using kernel principal component analysis and k-nearest neighbors for chemical process system
by: Nawaz, Muhammad, et al.
Published: (2021) -
Multiscale fault classification framework using kernel principal component analysis and k-nearest neighbors for chemical process system
by: Nawaz, Muhammad, et al.
Published: (2021) -
Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis
by: Ali, Husnain, et al.
Published: (2022) -
Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis
by: Ali, Husnain, et al.
Published: (2022) -
Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
by: Abdelrhman, Ahmed M., et al.
Published: (2015)