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Institution

Vaughn College of Aeronautics and Technology

EducationNew York, New York, United States
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.


Papers
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Book ChapterDOI
01 Jan 2007
TL;DR: In this article, the authors discuss the use of the Laplace transform for solving the small perturbation equations of motion to obtain the response transfer functions, and the computational process involving matrix methods that is normally undertaken with the aid of a suitable computer software package.
Abstract: This chapter explains the solutions of the equations of motion. The primary reason for solving the equations of motion is to obtain a mathematical, and hence graphical, description of the time histories of all the motion variables in response to a control input, or atmospheric disturbance. It also enables an assessment of stability to be made. It is also important that the chosen method of solution should provide good insight into the way in which the physical properties of the airframe influence the nature of the responses. The process of solution requires that the equations of motion are assembled in the appropriate format, numerical values for the derivatives and other parameters are substituted, and then the whole model is input to a suitable computer program. The chapter is concerned with a discussion of the use of the Laplace transform for solving the small perturbation equations of motion to obtain the response transfer functions. This is followed by a description of the computational process involving matrix methods that is normally undertaken with the aid of a suitable computer software package. The chapter explores the state space model augmentation. It is a straightforward matter to augment the state description to include the additional dynamics of components such as engines and control surface actuators.

2 citations

Proceedings ArticleDOI
01 Oct 2019
TL;DR: The results show that the fault diagnosis implementation proposed in this paper has high real-time performance, low resource consumption and low power consumption, which can provide an important reference for complex equipment PHM engineering applications.
Abstract: Aiming at the problems of poor real-time fault diagnosis and low efficiency in the complex equipment PHM engineering maturity, a fault diagnosis implementation scheme based on PHM high performance computing platform is proposed. The BP neural network algorithm is used as an example to verify. Firstly, the current technical status and urgent needs of the existing PHM operation platform are analyzed. The overall structure and software and hardware optimization configuration of PHM high performance computing platform with FPGA and DSP as the core are expounded. Then, by means of module division, HDL design, functional verification and package testing of the time domain feature extraction method and BP neural network, the implementation of the platform fault diagnosis algorithm is carried out. Finally, combined with the analysis of a certain type of on-board fuel pump fault data, comparative analysis was carried out with the CPU platform operation. The results show that the fault diagnosis implementation proposed in this paper has high real-time performance, low resource consumption and low power consumption, which can provide an important reference for complex equipment PHM engineering applications.

2 citations

Journal ArticleDOI
TL;DR: In this paper, the evaluation of human operator coupled dynamic systems is presented, and the authors present an evaluation of the human operator's performance in Coupled Dynamic Systems (CDS).
Abstract: (1967). Evaluation of Human Operator Coupled Dynamic Systems. Ergonomics: Vol. 10, No. 2, pp. 125-138.

2 citations


Authors

Showing all 732 results

NameH-indexPapersCitations
Xiang Zhang1541733117576
Denis J. Sullivan6133214092
To. Saito511839392
Arthur H. Lefebvre411234896
Michele Meo402235557
Robin S. Langley402635601
Ning Qin372835011
Holger Babinsky332424068
B. S. Gaudi31642560
Philip J. Longhurst29802578
Michael Gaster27663998
Don Harris261292537
To. Saito25562362
John F. O'Connell22891763
Rade Vignjevic21841563
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20223
202145
202033
201934
201841