Development of virtual sensors to estimate critical aircraft flight parameters

Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption

Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a function of aircraft Flight Operations Quality Assurance (FOQA) data. FOQA data consist of a large number of measurements that are already recorded by many commercial airlines. The predictive model is used for anomaly det...

Using neural network to estimate weibull parameters

As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition. Weibull distribution involves in reliability studies frequently and has many applications in engineering. However estimating the parameters of Weibull distribution is crucial in classical ways. This distribution has t...

calculation of aircraft aerodynamic loads during operational flight

in this research, the calculation method of aerodynamic loads on an airplane in all flight situations is presented. in order to find an calculation equation for aerodynamic loads on an airplane in all flight conditions, the f-5 aircraft is selected as a prototype is divided into one hundred small parts longitudinally. therefore, the numerical solutions are taken place in different conditions of...

Steady Aircraft Flight and Aircraft Performance

System Identification Methods for Aircraft Flight Control Development and Validation

System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The extracted models allow the characterization of the response of the overall aircraft or component subsystem behavior, such as actua-tors and on-board signal processing algorithms. This paper discusses the use of frequency-domain system-identification me...