A Fault Diagnosis and Prognosis Method for Lithium-Ion Batteries Based on a Nonlinear Autoregressive Exogenous Neural Network and Boxplot.
Yan QiuJing SunYunlong ShangDongchang WangPublished in: Symmetry (2021)
Keyphrases
- fault diagnosis
- autoregressive
- bp neural network
- neural network
- rbf neural network
- multi sensor information fusion
- fault tree
- pairwise
- moving average
- fuzzy logic
- prediction model
- gas turbine
- non stationary
- fault detection
- operating conditions
- expert systems
- image processing
- em algorithm
- denoising
- least squares
- control system
- power transformers
- fault detection and diagnosis
- bayesian networks