Vaughn College of Aeronautics and Technology

About: Vaughn College of Aeronautics and Technology is a education organization based out in New York, New York, United States. It is known for research contribution in the topics: Gravitational microlensing & Planetary system. The organization has 727 authors who have published 708 publications receiving 14082 citations. The organization is also known as: College of Aeronautics.

Drinking and flying : A structural model

Abstract: BACKGROUND: Under a recent revision of the European Joint Aviation Authorities operations regulations it has been prohibited to act as a crew member of an aircraft with a BAC of greater than 0.02%. METHODS: This survey of UK Civil Aviation Authority pilots suggests that over 50% of respondents may have flown an aircraft with a BAC of greater than this prescribed amount. RESULTS: Professional pilots were found to be heavier drinkers than private pilots and were also more likely to infringe the 0.02% BAC rule. CONCLUSION: Analysis of the data using path analysis suggests that professional pilots may be more prone to offending as a result of training in a "drinking culture" and as a response to commercial pressures in the industry. Language: en

Unsteady flow around helicopter rotor blade sections in forward flight

Abstract: The aerodynamic performance of aerofoils performing unsteady motions is important for the design of helicopter rotors. In this respect the study of aerofoils undergoing in-plane oscillations (translation along the horizontal axis) provides useful insight into the flow physics associated with the advancing blade in forward flight. In this paper a numerical method is developed in which the unsteady thin layer Navier-Stokes equations are solved for aerofoils performing rigid body motions. The method has been applied to the calculation of the flowfield around a NACA 0012 aerofoil performing in-plane motions representative of high-speed forward flight. Comparison of computed pressure data with experimental measurements is generally found to be good. The quantitative differences observed between computations and experiment are thought to have arisen mainly as a consequence of the low aspect ratio of the model rotor employed in the windtunnel tests.

A fault diagnosis approach for airborne fuel pump based on EMD and probabilistic neural networks

Abstract: Airborne fuel pump is an important part of aircraft fuel system, for the lack of fault samples, low diagnostic efficiency and high maintenance cost, in order to achieve more accurate and reliable fault diagnosis of airborne fuel pump, an experimental platform of fuel transfusion system is developed and a fault diagnosis method based on empirical mode decomposition (EMD) and probabilistic neural networks (PNN) is proposed. Firstly, the vibration signals and pressure signals of normal state and six types of representative fuel pump faults are collected on the experimental platform. Then the EMD method is applied to decompose the original vibration signals into a finite Intrinsic Mode Functions (IMFs) and a residual. Secondly, the energy of first four IMFs is extracted as a vibration signals failure feature, combined with the mean outlet pressure to structure the fault feature vector and then divided into training samples and testing samples. Training samples are used to train the PNN fault diagnosis model and testing samples are used to verify the model. Experimental results show that compared with SVM and GA-BP, the PNN fault diagnosis model has fast convergence, high efficiency and a higher performance and recognition for the typical faults of airborne fuel pump.