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RUL Prediction
MathematicalBattery' Degradation Evolution #
Data-driven Methods
Model-based Methods
Support VectorMachine (SVM) # #
Kalman Filter (KF)
Particle Filter (PF)
Dempster–Shafer theory (DST)
#
Ensemble Model withAkaike Information Criterion (AIC) # #
Electrochemical Model-based PF #
RelevanceVector Machine (RVM) #
adaptive recurrent neural network (a-RNN) #
State of Health (SOH)
Remaining Useful Life (RUL)
solve
Degradation Evolution
Posterior-based #
Prior_based #
has
has no
over-fitting
Result in
System Dynamic State
forecast
Simple RNN
LSTM RNN
Streaming Time Series Dataagainst Anomalies and Change Points.
predict
Wind Power
