In this paper a Simulation Before Test diagnosis technique for detection of single and double faults in gas turbines is presented. Fault localization is performed by comparing the behavior of turbine under test with simulation data by means of a neural network algorithm. The technique is adaptable to operating and environmental conditions
It is essential to monitor and to diagnose faults in rotating machinery with a high thrust–weight ra...
The reliability of gas path components (compressor, burners and turbines) of a gas turbine is genera...
In this study a model-based procedure exploiting analytical redundancy for the detection and isolat...
In this paper a Simulation Before Test diagnosis technique for detection of single and double faults...
ABSTRACT This paper describes a procedure to measure the performance of detection and isolation of m...
Summarization: In this paper artificial neural networks are used with promising results in a critica...
In a free energy market the reduction of operating costs becomes a primary goal and, in this context...
An application of a procedure using a neural network for the detection and isolation of faults model...
In this paper a model-based procedure exploiting analytical redundancy for the detection and isol...
In this study a model-based procedure exploiting analytical redundancy for the detection and isolat...
The fault diagnosis and prognosis of wind turbine systems represent a challenging issue, thus justif...
Industrial plants often work at different operating points. However, in literature applications o...
In this paper an application of a procedure using a neural network for the detection and isolation o...
In this study, a model-based procedure exploiting analytical redundancy for the detection and isola...
In this paper a model-based procedure exploiting analytical redundancy for the detection and isol...
It is essential to monitor and to diagnose faults in rotating machinery with a high thrust–weight ra...
The reliability of gas path components (compressor, burners and turbines) of a gas turbine is genera...
In this study a model-based procedure exploiting analytical redundancy for the detection and isolat...
In this paper a Simulation Before Test diagnosis technique for detection of single and double faults...
ABSTRACT This paper describes a procedure to measure the performance of detection and isolation of m...
Summarization: In this paper artificial neural networks are used with promising results in a critica...
In a free energy market the reduction of operating costs becomes a primary goal and, in this context...
An application of a procedure using a neural network for the detection and isolation of faults model...
In this paper a model-based procedure exploiting analytical redundancy for the detection and isol...
In this study a model-based procedure exploiting analytical redundancy for the detection and isolat...
The fault diagnosis and prognosis of wind turbine systems represent a challenging issue, thus justif...
Industrial plants often work at different operating points. However, in literature applications o...
In this paper an application of a procedure using a neural network for the detection and isolation o...
In this study, a model-based procedure exploiting analytical redundancy for the detection and isola...
In this paper a model-based procedure exploiting analytical redundancy for the detection and isol...
It is essential to monitor and to diagnose faults in rotating machinery with a high thrust–weight ra...
The reliability of gas path components (compressor, burners and turbines) of a gas turbine is genera...
In this study a model-based procedure exploiting analytical redundancy for the detection and isolat...