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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Sub layer | Hyperparameter value | Sub layer | Hyperparameter value |
---|---|---|---|
InvGRU | 70 | Regression (Linear) | 1 |
FC1 (Relu) | 30 | Learning rate | 0.005 |
FC2 (Relu) | 30 | Dropout1 | 0.5 |
FC3 (Relu) | 10 | Dropout2 | 0.3 |
Subset | FD001 | FD002 | FD003 | FD004 |
---|---|---|---|---|
Total number of engines | 100 | 260 | 100 | 249 |
Operating condition | 1 | 6 | 1 | 6 |
Type of fault | 1 | 1 | 2 | 2 |
Maximum cycles | 362 | 378 | 525 | 543 |
Minimum cycles | 128 | 128 | 145 | 128 |
number | symbol | description | unit | trend | number | symbol | description | unit | trend |
---|---|---|---|---|---|---|---|---|---|
1 | T2 | Total fan inlet temperature | ºR | ~ | 12 | Phi | Fuel flow ratio to Ps30 | pps/psi | ↓ |
2 | T24 | Total exit temperature of LPC | ºR | ↑ | 13 | NRf | Corrected fan speed | rpm | ↑ |
3 | T30 | HPC Total outlet temperature | ºR | ↑ | 14 | NRc | Modified core velocity | rpm | ↓ |
4 | T50 | Total LPT outlet temperature | ºR | ↑ | 15 | BPR | bypass ratio | -- | ↑ |
5 | P2 | Fan inlet pressure | psia | ~ | 16 | farB | Burner gas ratio | -- | ~ |
6 | P15 | Total pressure of culvert pipe | psia | ~ | 17 | htBleed | Exhaust enthalpy | -- | ↑ |
7 | P30 | Total outlet pressure of HPC | psia | ↓ | 18 | NF_dmd | Required fan speed | rpm | ~ |
8 | Nf | Physical fan speed | rpm | ↑ | 19 | PCNR_dmd | Modify required fan speed | rpm | ~ |
9 | Nc | Physical core velocity | rpm | ↑ | 20 | W31 | HPT coolant flow rate | lbm/s | ↓ |
10 | Epr | Engine pressure ratio | -- | ~ | 21 | W32 | LPT coolant flow rate | lbm/s | ↓ |
11 | Ps30 | HPC outlet static pressure | psia | ↑ |
Model | FD001 | FD002 | ||
---|---|---|---|---|
Score | RMSE | Score | RMSE | |
Cox’s regression [34] | 28616 | 45.10 | N/A | N/A |
SVR [39] | 1382 | 20.96 | 58990 | 41.99 |
RVR [39] | 1503 | 23.86 | 17423 | 31.29 |
RF [39] | 480 | 17.91 | 70456 | 29.59 |
CNN [40] | 1287 | 18.45 | 17423 | 30.29 |
LSTM [42] | 338 | 16.14 | 4450 | 24.49 |
DBN [41] | 418 | 15.21 | 9032 | 27.12 |
MONBNE [41] | 334 | 15.04 | 5590 | 25.05 |
LSTM+attention+handscraft feature [20] | 322 | 14.53 | N/A | N/A |
Acyclic Graph Network [43] | 229 | 11.96 | 2730 | 20.34 |
AEQRNN [34] | N/A | N/A | 3220 | 19.10 |
MCLSTM-based[4] | 260 | 13.21 | 1354 | 19.82 |
SMDN [14] | 240 | 13.72 | 1464 | 16.77 |
Proposed | 238 | 12.34 | 1205 | 15.59 |
Model | FD003 | FD004 | ||
---|---|---|---|---|
Score | RMSE | Score | RMSE | |
Cox’s regression [34] | N/A | N/A | 1164590 | 54.29 |
SVR [39] | 1598 | 21.04 | 371140 | 45.35 |
RVR [39] | 17423 | 22.36 | 26509 | 34.34 |
RF [39] | 711 | 20.27 | 46568 | 31.12 |
CNN [40] | 1431 | 19.81 | 7886 | 29.16 |
LSTM [42] | 852 | 16.18 | 5550 | 28.17 |
DBN [41] | 442 | 14.71 | 7955 | 29.88 |
MONBNE [41] | 422 | 12.51 | 6558 | 28.66 |
LSTM+attention+handscraft feature [20] | N/A | N/A | 5649 | 27.08 |
Acyclic Graph Network [43] | 535 | 12.46 | 3370 | 22.43 |
AEQRNN [34] | N/A | N/A | 4597 | 20.60 |
MCLSTM-based[4] | 327 | 13.45 | 2926 | 22.10 |
SMDN [14] | 305 | 12.70 | 1591 | 18.24 |
Proposed | 292 | 13.12 | 1020 | 13.25 |
Model | Mean performance | |
---|---|---|
RMSE | Score | |
Cox’s regression [34] | 49.70 | 596603 |
SVR [39] | 32.335 | 108277 |
RVR [39] | 27.96 | 11716 |
RF [39] | 24.72 | 29553 |
CNN [40] | 24.42 | 7006 |
LSTM [42] | 21.25 | 2797 |
DBN [41] | 21.73 | 4461 |
MONBNE [41] | 20.32 | 3225 |
LSTM+attention+handscraft feature [20] | 20.80 | 2985 |
Acyclic Graph Network [43] | 16.80 | 1716 |
AEQRNN [34] | 19.85 | 3908 |
MCLSTM-based[4] | 17.40 | 1216 |
SMDN [14] | 15.36 | 900 |
Proposed | 13.58 | 689 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Submitted:
31 May 2023
Posted:
01 June 2023
You are already at the latest version
A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
31 May 2023
Posted:
01 June 2023
You are already at the latest version
Sub layer | Hyperparameter value | Sub layer | Hyperparameter value |
---|---|---|---|
InvGRU | 70 | Regression (Linear) | 1 |
FC1 (Relu) | 30 | Learning rate | 0.005 |
FC2 (Relu) | 30 | Dropout1 | 0.5 |
FC3 (Relu) | 10 | Dropout2 | 0.3 |
Subset | FD001 | FD002 | FD003 | FD004 |
---|---|---|---|---|
Total number of engines | 100 | 260 | 100 | 249 |
Operating condition | 1 | 6 | 1 | 6 |
Type of fault | 1 | 1 | 2 | 2 |
Maximum cycles | 362 | 378 | 525 | 543 |
Minimum cycles | 128 | 128 | 145 | 128 |
number | symbol | description | unit | trend | number | symbol | description | unit | trend |
---|---|---|---|---|---|---|---|---|---|
1 | T2 | Total fan inlet temperature | ºR | ~ | 12 | Phi | Fuel flow ratio to Ps30 | pps/psi | ↓ |
2 | T24 | Total exit temperature of LPC | ºR | ↑ | 13 | NRf | Corrected fan speed | rpm | ↑ |
3 | T30 | HPC Total outlet temperature | ºR | ↑ | 14 | NRc | Modified core velocity | rpm | ↓ |
4 | T50 | Total LPT outlet temperature | ºR | ↑ | 15 | BPR | bypass ratio | -- | ↑ |
5 | P2 | Fan inlet pressure | psia | ~ | 16 | farB | Burner gas ratio | -- | ~ |
6 | P15 | Total pressure of culvert pipe | psia | ~ | 17 | htBleed | Exhaust enthalpy | -- | ↑ |
7 | P30 | Total outlet pressure of HPC | psia | ↓ | 18 | NF_dmd | Required fan speed | rpm | ~ |
8 | Nf | Physical fan speed | rpm | ↑ | 19 | PCNR_dmd | Modify required fan speed | rpm | ~ |
9 | Nc | Physical core velocity | rpm | ↑ | 20 | W31 | HPT coolant flow rate | lbm/s | ↓ |
10 | Epr | Engine pressure ratio | -- | ~ | 21 | W32 | LPT coolant flow rate | lbm/s | ↓ |
11 | Ps30 | HPC outlet static pressure | psia | ↑ |
Model | FD001 | FD002 | ||
---|---|---|---|---|
Score | RMSE | Score | RMSE | |
Cox’s regression [34] | 28616 | 45.10 | N/A | N/A |
SVR [39] | 1382 | 20.96 | 58990 | 41.99 |
RVR [39] | 1503 | 23.86 | 17423 | 31.29 |
RF [39] | 480 | 17.91 | 70456 | 29.59 |
CNN [40] | 1287 | 18.45 | 17423 | 30.29 |
LSTM [42] | 338 | 16.14 | 4450 | 24.49 |
DBN [41] | 418 | 15.21 | 9032 | 27.12 |
MONBNE [41] | 334 | 15.04 | 5590 | 25.05 |
LSTM+attention+handscraft feature [20] | 322 | 14.53 | N/A | N/A |
Acyclic Graph Network [43] | 229 | 11.96 | 2730 | 20.34 |
AEQRNN [34] | N/A | N/A | 3220 | 19.10 |
MCLSTM-based[4] | 260 | 13.21 | 1354 | 19.82 |
SMDN [14] | 240 | 13.72 | 1464 | 16.77 |
Proposed | 238 | 12.34 | 1205 | 15.59 |
Model | FD003 | FD004 | ||
---|---|---|---|---|
Score | RMSE | Score | RMSE | |
Cox’s regression [34] | N/A | N/A | 1164590 | 54.29 |
SVR [39] | 1598 | 21.04 | 371140 | 45.35 |
RVR [39] | 17423 | 22.36 | 26509 | 34.34 |
RF [39] | 711 | 20.27 | 46568 | 31.12 |
CNN [40] | 1431 | 19.81 | 7886 | 29.16 |
LSTM [42] | 852 | 16.18 | 5550 | 28.17 |
DBN [41] | 442 | 14.71 | 7955 | 29.88 |
MONBNE [41] | 422 | 12.51 | 6558 | 28.66 |
LSTM+attention+handscraft feature [20] | N/A | N/A | 5649 | 27.08 |
Acyclic Graph Network [43] | 535 | 12.46 | 3370 | 22.43 |
AEQRNN [34] | N/A | N/A | 4597 | 20.60 |
MCLSTM-based[4] | 327 | 13.45 | 2926 | 22.10 |
SMDN [14] | 305 | 12.70 | 1591 | 18.24 |
Proposed | 292 | 13.12 | 1020 | 13.25 |
Model | Mean performance | |
---|---|---|
RMSE | Score | |
Cox’s regression [34] | 49.70 | 596603 |
SVR [39] | 32.335 | 108277 |
RVR [39] | 27.96 | 11716 |
RF [39] | 24.72 | 29553 |
CNN [40] | 24.42 | 7006 |
LSTM [42] | 21.25 | 2797 |
DBN [41] | 21.73 | 4461 |
MONBNE [41] | 20.32 | 3225 |
LSTM+attention+handscraft feature [20] | 20.80 | 2985 |
Acyclic Graph Network [43] | 16.80 | 1716 |
AEQRNN [34] | 19.85 | 3908 |
MCLSTM-based[4] | 17.40 | 1216 |
SMDN [14] | 15.36 | 900 |
Proposed | 13.58 | 689 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
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