Table 9.

Performance comparisons of different methods on the C-MAPSS dataset characterized by RMSE.

C-MPASS sub-dataset	FD001	FD002	FD003	FD004
Neural network (NN)15	14.80	25.64	15.22	25.80
Deed neural network (DNN)15	13.56	24.61	13.93	24.31
Convolutional neural network (CNN)49	18.45	30.29	19.82	29.16
Long short-term memory networks (LSTM)15	13.52	24.42	13.54	24.21
BiLSTM50	13.65	23.18	13.74	24.86
Similarity-based51	16.43	23.36	17.43	23.36
CNN with AFICv	11.7	23	14.4	22.8
Proposed MLPRegressor with AFICv	11.8	23	14.6	22.3

Significant values are given in bold.