Thermodynamic systems play an inestimable role in engineering applications. With the
rising demands for information and automation in operation and maintenance in …

In the study presented in this paper, the deterioration in the performance of an industrial gas
turbine during the operation design point was simulated by using the thermodynamic …

Aiming at the adverse effects of strong nonlinearity and high uncertainty existing in the gas
path performance deterioration assessment of turbofan engines, in contrast to previously …

In this paper, a Fault Detection and Isolation (FDI) system based on an ensemble-based
hierarchical classifier is devised to detect and isolate twelve typical turbine faulty scenarios …

The representation of structural dynamics in the absence of physics-based models, is often
accomplished through the identification of parametric models, such as the autoregressive …

The paper presents a new model based method for sensor fault isolation on engine test
beds. The proposed multi-stage geometric approach is based on the geometrical analysis of …

We study a fault detection problem in the context of Markovian Jump Linear Systems (MJLS).
The major contribution of this paper is the design of a mode-dependent mixed H∞/H− Fault …

In the present study, nonlinear dynamic process data are mapped into the kernel state space
by kernel gauge variable analysis method to obtain decorrelated state data. The time-lapse …

Real time and accurate fault detection has attracted an increasing attention with a growing
demand for higher operational efficiency and safety of industrial gas turbines as complex …