Effective fault diagnosis approach in gas turbines is crucial for ensuring reliable and efficient
operations, minimizing downtime, and mitigating safety risks. In this article, a robust fault …

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 paper is focused on the application of Adaptive Nuerofuzzy Inference system (ANFIS)
techniques in the model-based Fault Detection and Isolation (FDI). The objective of this …

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 …

Based on the Gas Path Analysis (GPA) method, nonlinear estimation and fuzzy classification
theories, a comprehensive fault diagnosis system has been developed for an industrial Gas …

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 …

Gas turbines are generally used in power generation, the oil and gas industries, and as jet
engines in aircrafts. Fault tolerance and reliability is important in such applications. Thus …

Modern Wind turbines are complex systems which can be affected by malfunctions,
regarding actuators, sensors, and components. An early faults detection and isolation are …

Considering the fact that the signs of performance deterioration in the main components of
gas turbines vary in different operating points, thus designing a Fault Detection and …

Wind turbine power generation is becoming one of the most critical renewable energy
sources. As wind power grows, there is a need for better monitoring and diagnostic …