… , in addition to a variety of faults. To develop a fault diagnosis system we begin by using the
… –Sugeno fuzzy system to represent the engine. The resulting nonlinear model provides a …

… to learn the input–output dynamics of the aircraft jet engine. Second, we present our fault
diagnosis results that consist of the fault detection and the fault isolation evaluation analysis. …

… to gas turbine fault diagnosis, the main … turbine fault diagnosis problem is solved through
optimization of an objective function by means of a genetic algorithm. The proposed diagnostic …

… : gas turbine measurements are affected by noise and biases. The simultaneous presence
of engine and sensor faults makes it hard to establish the actual condition of the engine …

… aircraft engine maintainers is the automatic detection, classification, and prediction (or prognosis)
of potential critical component failures in gas turbine engines. … from operating engines. …

… turbine engines are complex thermal equipment due to harsh operation environment. Engine
gas path fault diagnosis … The idea of gas path fault diagnosis is based on the fact that any …

… In this work, a novel data-driven fault diagnostic framework is developed by using … faults
and their adverse coupling effects pose serious limitations for developing reliable diagnostic …

… -based framework for fault diagnosis and failure prognosis in a turbine engine. The … of
fault indicators (for monitoring purposes) and the availability of real-time measurements. A fault …

… following, we describe the application of our diagnosis framework in a gas turbine engine. …
the application of our diagnosis algorithm on a jet turbine engine. The engine that we study is …

… detection and isolation are the two most important parts in engine fault diagnosis. The use
of multiple SVM for a SCF classification of a GT engine was studied by Zhou et al. Conversely, …