FEWEST-FAULT INTEGRAL OPTIMIZATION ALGORITHM FOR ENGINE FAULT DIAGNOSIS
Author(s): Fan Zuo-min, Lin Zhao-fu
Pages: 182-189
Year: 1992 Issue: 3
Journal: Chinese Journal of Aeronautics
Keyword: satisfactory; constraints; minimization; resolving; instance; guarantee; nominal; linearized; sufficiently; iteration;
Abstract: An important method for jet engine fault diagnosis is based on the resolving of the so-called engine fault equation,which represents the linearized relationship between a limited set of measurements and a large set of possible but improbable malfunctions.The fault equation is usually underdetermined and some supplemental conditions are required for resolving it.The fewest-fault principle may be employed to solve the underdetermined equation. There are two kinds of methods for resolving this class of problem:integral optimization approach and combination optimization approach.Two algorithms of constrained integral optimization based on the fewest-fault principle are presented in this paper. The introduction of fewest-fault principle and constraints of physical reasonableness can improve effectively both definition and reasonableness of the solution to the fault equation. A practical test of JT9D engine fault diagnosis is made in this paper.The diagnosis result by the presented algorithm is very satisfactory.
Pages: 182-189
Year: 1992 Issue: 3
Journal: Chinese Journal of Aeronautics
Keyword: satisfactory; constraints; minimization; resolving; instance; guarantee; nominal; linearized; sufficiently; iteration;
Abstract: An important method for jet engine fault diagnosis is based on the resolving of the so-called engine fault equation,which represents the linearized relationship between a limited set of measurements and a large set of possible but improbable malfunctions.The fault equation is usually underdetermined and some supplemental conditions are required for resolving it.The fewest-fault principle may be employed to solve the underdetermined equation. There are two kinds of methods for resolving this class of problem:integral optimization approach and combination optimization approach.Two algorithms of constrained integral optimization based on the fewest-fault principle are presented in this paper. The introduction of fewest-fault principle and constraints of physical reasonableness can improve effectively both definition and reasonableness of the solution to the fault equation. A practical test of JT9D engine fault diagnosis is made in this paper.The diagnosis result by the presented algorithm is very satisfactory.
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