Sensor Fault Detection Using an Extended Kalman Filter and Machine Learning for a Vehicle Dynamics Controller.
Daniel L. OssigKevin KurzenbergerSimon A. SpeidelKay-Uwe HenningOliver SawodnyPublished in: IECON (2020)
Keyphrases
- fault detection
- machine learning
- real time
- fault diagnosis
- fault identification
- industrial processes
- dynamic model
- tennessee eastman
- condition monitoring
- micro controller
- control system
- sensor data
- fault detection and diagnosis
- robust fault detection
- failure detection
- kinematic model
- neural network
- fault isolation
- dynamical systems
- closed loop
- data mining
- control algorithm
- pattern recognition
- fuel cell
- fault localization
- fault detection and isolation
- operating conditions
- ride comfort
- case based reasoning
- artificial intelligence
- ground vehicles
- data analysis
- reinforcement learning
- computer simulation
- expert systems
- control law
- evolutionary algorithm
- knowledge discovery
- decision support system