Belief consensus-based distributed particle filters for fault diagnosis of non-linear distributed systems.
Nargess Sadeghzadeh NokhodberizJavad PoshtanPublished in: J. Syst. Control. Eng. (2014)
Keyphrases
- bayesian filtering
- distributed systems
- fault diagnosis
- kalman filter
- particle filter
- particle filtering
- visual tracking
- distributed environment
- object tracking
- fault tolerant
- neural network
- expert systems
- fault detection
- electronic equipment
- bp neural network
- message passing
- fault detection and diagnosis
- fuzzy logic
- multiple faults
- load balancing
- geographically distributed
- chemical process
- distributed computing
- operating conditions
- deadlock detection
- gas turbine
- power transformers
- monitoring and fault diagnosis
- condition monitoring
- fault tolerance
- distributed database systems
- rotating machinery
- multi sensor information fusion
- mobile agents
- machine learning
- analog circuits
- monte carlo
- mean shift
- data mining
- peer to peer
- multi agent systems