Research Article
A Novel Gas Turbine Engine Health Status Estimation Method Using Quantum-Behaved Particle Swarm Optimization
Table 6
Comparisons of the four methods on test case
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| Engine degradation |
Implanted degradation (%) | lGPA | nGPA | GA | QPSO | Con1 | Con2 | Con3 | Con1 | Con2 | Con3 | Con1 | Con2 | Con3 | Con1 | Con2 | Con3 |
| -1 | −1.0 | −1.074 | −1.134 | −0.833 | −0.934 | −0.931 | −0.908 | −1.059 | −1.065 | −1.055 | −1.038 | −1.035 | −0.948 | -1 | −3.0 | −2.819 | −3.33 | −3.373 | −2.845 | −2.637 | −2.551 | −3.128 | −2.853 | −3.265 | −3.175 | −3.141 | −2.817 | -1 | −1.0 | −0.91 | −1.114 | −1.14 | −1.058 | −1.125 | −1.092 | −0.934 | −1.051 | −1.069 | −1.051 | −1.045 | −0.956 | -1 | −2.0 | −2.153 | −2.191 | −2.308 | −2.14 | −1.861 | −2.187 | −1.912 | −2.094 | −2.11 | −2.064 | −2.127 | −2.088 | -1 | 0 | −0.059 | −0.124 | 0.164 | −0.086 | 0.098 | 0.148 | 0.039 | 0.077 | 0.057 | 0.055 | 0.035 | −0.074 | -1 | 0 | −0.106 | 0.101 | −0.137 | 0.090 | 0.084 | 0.087 | 0.046 | 0.065 | 0.053 | −0.054 | 0.062 | 0.079 | -1 | 0 | −0.066 | −0.077 | 0.133 | 0.086 | −0.096 | 0.090 | −0.064 | 0.079 | 0.084 | −0.044 | 0.041 | 0.059 | -1 | 0 | 0.057 | −0.1 | −0.137 | −0.051 | 0.124 | −0.093 | 0.057 | 0.071 | 0.080 | −0.04 | −0.036 | −0.044 |
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