Prognostics of remaining useful life for lithium-ion batteries based on a feature vector selection and relevance vector machine approach.
Xiaoli QinQi ZhaoHongbo ZhaoWenquan FengXiuMei GuanPublished in: ICPHM (2017)
Keyphrases
- feature vectors
- relevance vector machine
- support vector machine
- gaussian processes
- electric vehicles
- bayesian learning
- sparse bayesian learning
- similarity measure
- nonlinear regression
- feature set
- gabor filters
- semi supervised
- image features
- hidden markov models
- image processing
- linear regression
- data sets
- feature space
- learning algorithm