Introduction
Dataset: FD001 | Dataset: FD003 |
Train trajectories: 100 | Train trajectories: 100 |
Test trajectories: 100 | Test trajectories: 100 |
Conditions: ONE (sea level) | Conditions: ONE (sea level) |
Fault modes: ONE (HPC degradation) | Fault modes: TWO (HPC and fan degradation) |
Dataset: FD002 | Dataset: FD004 |
Train trajectories: 260 | Train trajectories: 248 |
Test trajectories: 259 | Test trajectories: 249 |
Conditions: SIX | Conditions: SIX |
Fault modes: ONE (HPC degradation) | Fault modes: TWO (HPC and fan degradation) |
Motivation and Problem Statement
Signal Processing and Dimensionality Reduction
Multiple Linear Regression
Synthetic Wear Level Index Estimation
Failure Prognosis
State-Space Estimation Model
Results and Discussion
Dataset | MAE | MAPE | MSE | FP (%) | FN (%) |
---|---|---|---|---|---|
FD001 | 13.6 | 18.2 | 332.6 | 60 | 40 |
FD002 | 16.2 | 26.1 | 555.5 | 52 | 48 |
FD003 | 15.7 | 20.9 | 498.5 | 63 | 37 |
FD004 | 18.3 | 24.3 | 630.3 | 56 | 44 |