Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel.
Zhexiang ChiLijian YangJing LinSimin HuangPublished in: ICPHM (2019)
Keyphrases
- high speed railway
- additive model
- modeling method
- high speed train
- virtual reality
- key technologies
- particle swarm
- linear model
- monte carlo simulation
- least squares
- kernel function
- computer vision
- energy saving
- particle swarm optimization
- support vector
- input space
- evolutionary computation
- input output
- genetic programming
- puts forward
- multi objective
- three dimensional
- genetic algorithm