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• W2334995501 abstract "In the investigation of aircraft crashes traditional key elements are the flight recorder data and the voice recorder tracks as well as the inspection of the aircraft wreckage. At times, these elements are not sufficient to allow the investigators to reach definite conclusion relative to cause or set of causes for the failure(s) leading to the crash. FAA rules do not mandate for black box to record deflections of the aircraft control surfaces. Nevertheless, it is clear that these dynamic time histories can potentially provide crucial information toward the discovery of the cause(s) of the crash. In this paper neural network (NN) approach is proposed for the reconstruction of the time histories of the control surfaces deflections. The inputs to the NN are given by the discretized black box data; the NN outputs are the estimates of the control surface deflections which miniIinze the differences between the data of time histories from parallel simulation code and the actual black box data. The approach is iterative in nature; starting from an initial time instant, the signal reconstruction scheme will proceed to the next time instant only when the estimates of the control surfaces deflections at the current instant minimize the differences between the actual and the simulated time histories at the next instant. The results relative to the reconstruction of the control surfaces deflections for three different types of failures are presented and discussed. The results show that the NN approach allows, with success, the reconstruction of the control surface deflections up to non-linear conditions. Symbols a = normal acceleration, g's tly = lateral acceleration, g's h = altitude, m J = cost function k= discrete time index L= lower bound of the modified sigmoid function p= pattern for the neural network input data T = slope of the modified sigmoid function t= time, sec U = upper bound of the modified sigmoid function Vel= forward speed, m/sec y = generic system output 0= surface deflection, rad or deg 8 = Euler pitch angle, rad or deg = Euler bank angle, rad or deg • Associate Professor, AIAA Member t Graduate Student, Research Assistant, AIAA Member 1T=Euler heading angle, rad or deg Subscripts A= aileron c = control surface command E = elevator R= rudder" @default.
• W2334995501 created "2016-06-24" @default.
• W2334995501 creator A5073165378 @default.
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• W2334995501 date "1996-07-29" @default.
• W2334995501 modified "2023-09-27" @default.
• W2334995501 title "Applications of neural networks for signal reconstruction from aircraft crash data" @default.
• W2334995501 cites W1969705022 @default.
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• W2334995501 doi "https://doi.org/10.2514/6.1996-3802" @default.
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