A hybrid approach for improving unsupervised fault detection for robotic systems.
Eliahu KhalastchiMeir KalechLior RokachPublished in: Expert Syst. Appl. (2017)
Keyphrases
- fault detection
- robotic systems
- industrial processes
- fault diagnosis
- fault identification
- condition monitoring
- mobile robot
- vision system
- tennessee eastman
- fuel cell
- failure detection
- fault detection and diagnosis
- control architecture
- fault localization
- robust fault detection
- object manipulation
- supervised learning
- fault detection and isolation
- power plant
- neural network
- robotic manipulator
- real time
- imitation learning
- motor control
- swarm robotics
- human teaching behavior
- mathematical model