TY  - JOUR
EP  - 5602
ID  - scholars8175
IS  - 11
KW  - Computer circuits; Engines; Fuzzy logic; Gas turbines; Gases; Gaussian noise (electronic); Uncertainty analysis
KW  -  Component faults; Diagnostic techniques; Gas path; Gas turbine performance; Gas-path measurements; Measurement uncertainty; Multiple components; Stationary gas turbines
KW  -  Turbine components
TI  - Two-shaft stationary gas turbine engine gas path diagnostics using fuzzy logic
N2  - Our objective was to develop a Fuzzy logic (FL) based industrial two-shaft gas turbine gas path diagnostic method based on gas path measurement deviations. Unlike most of the available FL based diagnostic techniques, the proposed method focused on a quantitative analysis of both single and multiple component faults. The data required to demonstrate and verify the method was generated from a simulation program, tuned to represent a GE LM2500 engine running at an existing oil & gas plant, taking into account the two most common engine degradation causes, fouling and erosion. Gaussian noise is superimposed into the data to account measurement uncertainty. Finally, the fault isolation and quantification effectiveness of the proposed method was tested for single, double and triple component fault scenarios. The test results show that the implanted single, double and triple component fault case patterns are isolated with an average success rate of 96 , 92  and 89  and quantified with an average accuracy of 83 , 80  and 78.5 , respectively. © 2017, The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.
SN  - 1738494X
AV  - none
SP  - 5593
PB  - Korean Society of Mechanical Engineers
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035065074&doi=10.1007%2fs12206-017-1053-9&partnerID=40&md5=a9af3b4cb0e844dab9f59a24f2e25dc3
A1  - Amare, F.D.
A1  - Gilani, S.I.
A1  - Aklilu, B.T.
A1  - Mojahid, A.
N1  - cited By 14
Y1  - 2017///
VL  - 31
JF  - Journal of Mechanical Science and Technology
ER  -