This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain
nonlinear system using a new adaptive threshold method. In order to determine the bounds …

This paper describes the design and implementation of intelligent dynamic models for fault
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …

Effective fault detection, estimation, and isolation are essential for the safety and reliability of
gas turbines. In this article, a hybrid fault detection and isolation (FDI) approach is presented …

This study proposes a model-based robust fault detection and isolation (RFDI) method with
hybrid structure. Robust detection and isolation of the realistic faults of an industrial gas …

This paper presents a new fault detection and diagnosis approach for nonlinear dynamic
plant systems with a neuro-fuzzy based approach to prevent developing of fault as soon as …

In this study, a model-based procedure exploiting analytical redundancy for the detection
and isolation of faults of a gas turbine system is presented. The diagnosis scheme is based …

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 …

When a robust mathematical model of a process equipment is available, model-based
diagnostic methods can be used to identify the occurrence of faults in a system. However …

In this paper, a robust fault estimation approach is proposed for multi-input and multioutput
nonlinear dynamic systems on the basis of back propagation neural networks. The …

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 …