Browsing by Author "Daroogheh, N."
Now showing items 1-6 of 6
-
A Dual Particle Filter-Based Fault Diagnosis Scheme for Nonlinear Systems
Daroogheh N.; Meskin N.; Khorasani K. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)In this paper, a dual estimation methodology is developed for both time-varying parameters and states of a nonlinear stochastic system based on the particle filtering scheme. Our developed methodology is based on a concurrent ... -
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
Daroogheh, N.; Baniamerian, A.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ... -
A novel particle filter parameter prediction scheme for failure prognosis
Daroogheh, N.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)Particle filters are well-known as powerful tools for accomplishing state and parameter estimation and their propagation prediction in nonlinear dynamical systems. Their ability to include system model parameters as part ... -
An improved particle filtering-based approach for health prediction and prognosis of nonlinear systems
Daroogheh N.; Meskin N.; Khorasani K. ( Elsevier Ltd , 2018 , Article)Health monitoring of nonlinear systems is broadly concerned with the system health tracking and its prediction to future time horizons. Estimation and prediction schemes constitute as principle components of any health ... -
Ensemble Kalman Filters for State Estimation and Prediction of Two-Time Scale Nonlinear Systems with Application to Gas Turbine Engines
Daroogheh N.; Meskin N.; Khorasani K. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this brief, we propose and develop estimation, prediction, and health monitoring methodologies for nonlinear systems by modeling the damage and degradation mechanism dynamics as 'slow' states that are augmented with the ... -
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
Daroogheh, N.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)In this paper, a novel method for a time-varying parameter estimation technique using particle filters is proposed based on the concept of Recursive Prediction Error (RPE). According to the proposed method, a parallel ...