Browsing by Subject "Engines"
Now showing items 1-14 of 14
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A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
( 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 ... -
Dynamic performance simulation of an aeroderivative gas turbine using the matlab simulink environment
( American Society of Mechanical Engineers (ASME) , 2013 , Conference Paper)In fossil fuel applications, such as air transportation and power generation systems, gas turbine is the prime mover which governs the aircraft's propulsive and the plant's thermal efficiency, respectively. Therefore, an ... -
Efficient rule engine for smart building systems
( IEEE Computer Society , 2015 , Article)In smart building systems, the automatic control of devices relies on matching the sensed environment information to customized rules. With the development of wireless sensor and actuator networks (WSANs), low-cost and ... -
Forecasting the health of gas turbine components through an integrated performance-based approach
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this study, we present an integrated method for detecting and forecasting the health of gas turbine components as degraded over time. An advanced model-based real time performance adaptation approach is developed for ... -
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
( American Society of Mechanical Engineers (ASME) , 2015 , Conference Paper)In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
On the study of field uniformity inside jet engines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, the field uniformity of axial electric field component inside an anisotropic jet engine environment is analyzed by using Ansys HFSS simulation tool. The standard deviation based approach is used for the ... -
On the study of field uniformity inside jet engines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, the field uniformity of axial electric field component inside an anisotropic jet engine environment is analyzed by using Ansys HFSS simulation tool. The standard deviation based approach is used for the ... -
Performance-based prognosis scheme for industrial gas turbines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink ... -
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
( Academic Press , 2016 , Article)In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ... -
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ... -
Statistical analysis of electromagnetic field inside a jet engine using the reverberation chamber approach
( Electromagnetics Academy , 2012 , Article)In this paper, the electromagnetic field distribution inside a jet engine is studied through full wave analysis. Results are statistically analyzed by comparisons to the models used for the reverberation chamber with a ... -
Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
( American Society of Mechanical Engineers (ASME) , 2015 , Article)Gas turbines are faced with new challenges of increasing flexibility in their operation while reducing their life cycle costs, leading to new research priorities and challenges. One of these challenges involves the ... -
Tunable Piezoelectric Generator Coupled with Shape Memory Alloy (SMA) Heat Engine as Thermal Energy Harvester
( Institution of Engineering and Technology , 2022 , Conference Paper)With the ever-growing energy demand and environmental concerns, research on alternative energy is vital for sustainability. Thermal energy harvesting using shape memory alloy (SMA) heat engine is one of the possible methods ...