Civil Aviation University of China

About: Civil Aviation University of China is a education organization based out in Tianjin, China. It is known for research contribution in the topics: Air traffic control & Civil aviation. The organization has 5647 authors who have published 4559 publications receiving 29825 citations. The organization is also known as: Zhōngguó Mínháng Dàxué.

Local bifurcation analysis and topological horseshoe of a 4D hyper-chaotic system

Abstract: In this paper, a 4D autonomous system with complex hyper-chaotic dynamics is introduced. The Lyapunov exponent spectrum, bifurcation diagram and phase portrait are provided. Basic dynamical properties are also analyzed. In order to clarify the evolution of the complex dynamic behaviors of the system, the local bifurcation is studied and a Hopf bifurcation is proved to occur when the appropriate bifurcation parameter passes the critical value. All the conditions of Hopf bifurcation are derived by applying center manifold theorem and Poincare–Andronov–Hopf bifurcation theorem. Numerical simulation results are consistent with the theoretical analysis. Besides, we present a rigorous study on the hyper-chaotic system by combining the topological horseshoe theory with a computer-assisted approach of Poincare maps. Utilizing the algorithm for finding horseshoes in 3D hyper-chaotic maps, a horseshoe with two-directional expansion in the 4D hyper-chaotic system has been found, which rigorously proves the existence of hyper-chaos in theory.

ACARS Data Identification and Application in Aircraft Maintenance

Abstract: Useful methods of Aircraft Communication Addressing and Reporting System (ACARS) downlink message identification and relevant application software are presented in this paper. Two methods are introduced for identification of different parts of the downlink message, one is fixed format method for the common parts and the other is modular format method for text field identification. Using these message identification methods, the airline maintenance base can get real time information of the aircraft and know its status in time, maintenance technicians monitor the engine and onboard avionics with the help of the fault detection software modules, find the fault components even when the aircraft still in air. This can reduce stopping time of maintenance and improve maintenance efficiency.

Modified method of fundamental solutions for the Cauchy problem connected with the Laplace equation

Abstract: In this paper, a numerical algorithm is proposed based on the method of fundamental solutions (MFS) for the Cauchy problem connected with the Laplace equation in ℝ2. The major advantage of the modified MFS is to keep a very basic natural property, i.e. the invariance under trivial coordinate changes in the problem description. The method combines Newton's method and classic Tikhonov regularization to solve an inverse problem. The numerical convergence, accuracy, and stability of the method with respect to increasing the number of source points, and decreasing the amount of noise added into the input data, respectively, are also analysed with some examples, even for high noise levels.

Simulation Study on Airfield System Capacity Analysis Using SIMMOD

Abstract: This paper presents how airfield system capacity and delay analysis proceeds based on computational simulation. It analyzes the factors that influence airfield system. SIMMOD (FAA airport and airspace simulation model) is used to carry on the simulation which involves the influential factors to ensure high level of details and close reality in terms of air traffic control constraints and airfield operation procedures. Based on the information revealed from SIMMOD simulation, average departure delay and arrival delay are calculated so that airfield system bottleneck in heavy load can be found. The statistic analysis is done to find out quantitative relation between delay and capacity. We simulate two proposed scenarios to estimate their respective efficiencies in terms of airfield system improvement. The paper gives a modeling methodology with SIMMOD and finds out how to make the airfield system capacity evaluation through simulation.

The Analysis of Spatial Pattern and Hotspots of Aviation Accident and Ranking the Potential Risk Airports Based on GIS Platform

Abstract: Aviation accident analysis is an important task to ensure aviation safety. The existing researches mainly focus on the analysis of aviation accident time characteristics and accident causes and less analysis of the spatial characteristics of aviation accidents. The spatial characteristics analysis of aviation accidents can identify hot spots of aviation accidents, improve the accuracy of aviation accident emergency management, and provide decision support for airport route planning. This study established the severity index of aviation accident based on aviation accident data, using GIS spatial analysis methods to study the spatial distribution characteristics of aviation accidents. The hot spots were identified in the aviation accidents. Finally, airports around the accident hot spots were ranked to obtain the airports with high potential aviation risks based on RI, taking Florida as an example. It was found that in the Florida aviation accident, general aviation accidents accounted for the majority, but the aviation accident severity index for air route flight was far greater than general aviation accidents. From the spatial distribution point of view, accidents with high severity index were distributed around large international airports. The Density Center for Aviation Accidents was located in Tampa, Miami, and some airports link areas in Florida. In terms of the Moran’s I index, the distribution of aviation accidents tended to aggregate in the region as a whole. However, aviation accident severity index was randomly distributed for each year separately. At the level of significance of 0.01, there were a total of 75 accident hotspots in the Florida region, mainly in the north and southwest. Airports with high RI in the Florida area were mainly concentrated in the Miami area and the Tampa Bay area, and Orlando Airport was ranked outside the top 10.