Aiming at measurement parameters optimal selection for gas path fault diagnosis in ground test bed

a four-step optimal method was presented. The four-step optimal method includes measurement parameters sensitivity analysis

component performance parameters correlation analysis

influence coefficient matrix condition number analysis and genetic algorithm validation. According to the first step

total air mass flow was picked out. In the second step

total temperature at fan exit and total temperature at compressor exit were picked out. In the third step

twelve measurement parameters combinations beneficial to fault diagnosis were picked out. In the final step

the best measurement parameters combination was obtained. Based on the genetic algorithm

the simulated diagnostic results show that

with these twelve measurement parameters combinations

all the fitness values for each single fault diagnosis are more than 0.85

which approximate the optimal fitness value 1. As to the most promising measurement parameter combination

all the fitness values are greater than 0.9 by genetic algorithm validation

which demonstrate the validity of this four-step optimal method.