According to the needs of gas turbine gas path performance monitoring and diagnosis

based on the influence coefficient matrix by gas path small deviation analysis

the measurement parameters were classified into target clustering with required number by fuzzy clustering analysis method starting from the correlation requirements of parameters selection. Furthermore

from the sensitivity requirements of parameters selection

the representative measurement parameters of each multi-element clustering were picked out by fuzzy comprehensive evaluation method. Thereby the fuzzy intelligent selection of gas turbine gas path measurement parameters was realized. The case study shows that fuzzy clustering analysis method can carry out the parameter correlation selection directly

so it is reliable and convenient to select the reasonable measurement parameter group for a target request; it's also more efficient and reliable for the measurement parameter sensitivity selection with fuzzy comprehensive evaluation method.