An Improved Principal Component Analysis in the Fault Detection of Multi-sensor System of Mobile Robot.
Zhaihe ZhouQianyun ZhangQingtao ZhaoRuyi ChenQingxi ZengPublished in: Int. J. Online Eng. (2018)
Keyphrases
- computer vision
- fault detection
- multi sensor
- mobile robot
- principal component analysis
- data fusion
- fault diagnosis
- infrared
- industrial processes
- multi sensor fusion
- face recognition
- fusion algorithm
- fault identification
- sensor fusion
- image fusion
- image processing
- condition monitoring
- tennessee eastman
- multiple sensors
- fault detection and diagnosis
- feature space
- pattern recognition
- robust fault detection
- failure detection
- visual information
- automatic registration
- feature extraction
- fuel cell
- fusion method
- fault localization
- data association
- power plant
- image analysis
- data mining
- neural network
- coarse to fine
- remote sensing
- machine learning
- computer simulation
- image registration