scholarly journals Simulation and Modeling of ANN-Based Prognosis Tool for a Typical Aircraft Fuel System Health Management

2018 ◽  
Author(s):  
Vijaylakshmi S. Jigajinni ◽  
Vanam Upendranath
Keyword(s):  
Health Management ◽  
Fuel System ◽  
Simulation And Modeling ◽  
Aircraft Fuel

scholarly journals Health Monitoring of an Aircraft Fuel System Using Artificial Intelligence Techniques

2021 ◽  
Author(s):  
Vijaylakshmi S. Jigajinni
Keyword(s):  
Health Monitoring ◽  
Fuzzy Inference ◽  
Health Management ◽  
Operating Cost ◽  
Fuel System ◽  
Inference System ◽  
Management Processes ◽  
Neuro Fuzzy ◽  
Aircraft Fuel ◽  
Logical Rules

Aircraft is a non-linear complex system and is need of regular monitoring. Integrated Vehicle Health Management (IVHM) is a process of health management paradigm, which involves system parameter monitoring, assessment of current, future conditions through diagnostic and prognostic approaches by providing required maintenance activities. Deployment of diagnostic, prognostic and health management processes enable to improve the system reliability and reduces the operating cost of the aircraft. Health monitoring and management plays a vibrant role in safe operation and maintenance of aircraft. Soft computing methodologies such as Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to estimate the health status of fuel system by developing model of a typical pump feed, twin-engine, four-tank small aircraft fuel system using Simulink in the laboratory environment. The controller is designed to generate the signals of the fuel tanks based on the fuel requirement of the engine. The ANFIS based management system helps to detect the faults existing in the fuel system and diagnose those faults using the expert’s logical rules. During a fault ailment, the controller’s performance is evaluated. The efficacy of this intelligent controller is verified with the present fuel control system and ANN controller.

Fault Detection for Aircraft Fuel System with Neural Network

2020 ◽  
Author(s):  
Nithya Subramanian ◽  
Hongmei He ◽  
Ian Jennions
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Fuel System ◽  
Aircraft Fuel

scholarly journals Utilization of Low-Potential Energy Through to the Use in Aircraft Fuel System

2021 ◽  
Vol 1102 (1) ◽  
pp. 012007
Author(s):  
Renat R. Badykov ◽  
Roman A. Panshin ◽  
Olga V. Tremkina ◽  
Anastasia A. Prokofieva
Keyword(s):  
Potential Energy ◽  
Fuel System ◽  
Aircraft Fuel

scholarly journals The Thermal Stability of Aviation Fuel

1984 ◽  
Author(s):  
J. S. Mills ◽  
F. R. Edwards
Keyword(s):  
Thermal Stability ◽  
Research Tool ◽  
Aviation Fuel ◽  
Engine Oil ◽  
Thermally Stable ◽  
Fuel System ◽  
Flow Rates ◽  
Aircraft Fuel ◽  
Oil Cooler ◽  
Thermal Stability Of

The propensity of aviation turbine fuels to produce deposits in the oil-cooler and filter sections of aircraft fuel systems has been examined using a rig that simulates the fuel system of an aircraft and which employs realistic flow rates. All the fuels examined were found to be thermally stable up to temperatures in excess of those currently attained in engine oil coolers. Comparison with results obtained with the JFTOT indicates that this is not suited for use as a research tool.

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