Fault detection and isolation of gas turbine using series–parallel NARX model
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 …
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …
Nonlinear robust fault diagnosis of power plant gas turbine using Monte Carlo-based adaptive threshold approach
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 …
nonlinear system using a new adaptive threshold method. In order to determine the bounds …
Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques
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 …
hybrid structure. Robust detection and isolation of the realistic faults of an industrial gas …
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
ZN Sadough Vanini, N Meskin… - … of Engineering for …, 2014 - asmedigitalcollection.asme.org
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 …
an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme …
A new fault diagnosis approach for heavy-duty gas turbines
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 …
gas turbines. In this article, a hybrid fault detection and isolation (FDI) approach is presented …
A strong tracking filter based multiple model approach for gas turbine fault diagnosis
Q Yang, S Li, Y Cao - Journal of Mechanical Science and Technology, 2018 - Springer
In this paper, a nonlinear Fault detection and isolation (FDI) based on an improved Multiple
model (MM) approach was proposed for the gas turbine engine. A bank of Strong tracking …
model (MM) approach was proposed for the gas turbine engine. A bank of Strong tracking …
A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
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 …
diagnostic methods can be used to identify the occurrence of faults in a system. However …
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the
concept of multiple model (MM) approach is proposed for jet engines. A modular and a …
concept of multiple model (MM) approach is proposed for jet engines. A modular and a …
Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach
ZNS Vanini, K Khorasani, N Meskin - Information Sciences, 2014 - Elsevier
In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is
developed. The proposed FDI system is based on the multiple model approach and utilizes …
developed. The proposed FDI system is based on the multiple model approach and utilizes …
[HTML][HTML] Research on model-based fault diagnosis for a gas turbine based on transient performance
D Zeng, D Zhou, C Tan, B Jiang - Applied Sciences, 2018 - mdpi.com
It is essential to monitor and to diagnose faults in rotating machinery with a high thrust–
weight ratio and complex structure for a variety of industrial applications, for which reliable …
weight ratio and complex structure for a variety of industrial applications, for which reliable …