As the flight envelope is widening continuously and operational capability is improving
sequentially, gas turbine engines are faced with new challenges of increased operation and …

An effective and reliable gas path diagnostic method that could be used to detect, isolate,
and identify gas turbine degradations is crucial in a gas turbine condition-based …

In this paper a novel fault detection, isolation, and identification (FDI&E) scheme using a
coupling diagnosis method with the integration of the model-based method and …

In this paper, we present a synergistic approach to startup fault detection and diagnosis
(FDD) in gas turbine engines. The method employs statistics, signal processing, and soft …

Recently, the advanced condition monitoring methods such as the model-based method and
the artificial intelligent method have been applied to maximize the availability as well as to …

Aircraft engine sensor fault diagnosis is closely related technology that assists operators in
managing the health of gas turbine engine assets. As all gas turbine engines will exhibit …

Various model-based methods are widely used to aircraft engine fault diagnosis, and an
accurate engine model is used in these approaches. However, it is difficult to obtain general …

In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using
an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme …

Hierarchical Support Vector Machine (H-SVM) is faster in training and classification than
other usual multi-class SVMs such as “1-VR” and “1-V-1”. In this paper, a new multi-class …

In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the
multiple model-based (MM) approach is proposed that remains robust with respect to both …