Fault diagnosis for an automotive suspension using particle filters.
Diana Hernandez-AlcantaraRubén Morales-MenéndezLuis Antonio Amezquita-BrooksPublished in: ECC (2016)
Keyphrases
- fault diagnosis
- particle filter
- particle filtering
- object tracking
- visual tracking
- neural network
- expert systems
- appearance model
- mean shift
- fault detection
- bp neural network
- fuzzy logic
- monte carlo
- multiple object tracking
- state space
- condition monitoring
- state estimation
- rotating machinery
- kalman filter
- monitoring and fault diagnosis
- operating conditions
- gas turbine
- sequential monte carlo
- multi sensor information fusion
- electronic equipment
- fault detection and diagnosis
- power transformers
- dynamic systems
- rbf neural network
- robust tracking
- chemical process
- multiple faults
- markov chain monte carlo
- bayesian filtering
- abrupt motion
- quasi monte carlo
- analog circuits
- multiple objects
- power system
- artificial intelligence
- fault diagnostic
- real time