Degradation modeling under time-varying operating conditions: Inference and prognosis with particle filter.
Xingheng LiuErling LundeFabio DiehlAibo ZhangJørn VatnShen YinPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- particle filter
- operating conditions
- fault diagnosis
- object tracking
- visual tracking
- bayesian inference
- particle filtering
- steady state
- motion model
- state space
- mean shift
- kalman filter
- markov chain monte carlo
- control strategy
- appearance model
- state estimation
- data association
- observation model
- sequential monte carlo
- multiple hypotheses
- rao blackwellized particle filter
- importance sampling
- robust tracking
- expert systems
- articulated body
- multi class
- data points
- dynamic programming
- bayesian networks
- feature extraction
- abrupt motion
- decision trees