scholarly journals Expert System for Aerial Vehicle Deployment System Selection

2021 ◽  
Author(s):  
Ming Yui Edwin Lau
Keyword(s):  
Expert System ◽  
Design Process ◽  
Fuzzy Inference ◽  
Search Algorithm ◽  
Engineering Problem ◽  
Flight Mechanics ◽  
Parametric Search ◽  
Programmable Device ◽  
Aerial Vehicle ◽  
System Selection

An expert system is a programmable device developed to provide automation for engineering problem solving. It is composed of artificial intelligence modules, subroutine functions, and databases. Under this framework, a design process is proposed to assist the conceptual design of aerial vehicles' deployment systems. The problem is first defined by a set of design requirements for take-off, landing, and cruise. The values are then translated to a set of performance parameters needed for the design process via a newly developed parametric search algorithm. Such parameters are categorised by a fuzzy inference module to determine the most suitable deployment-propulsion system, for conventional and V/STOL vehicles. Through the use of linear and neural network regression, a number of aerodynamic terms are estimated to support flight mechanics analyses, where the optimal take-off and landing thrust vectors are determined. Engine specifications are deduced in terms of unit thrust, weight, bypass ratio and dimension. The design process demonstrates effectiveness in sizing engines for V/STOL operations.

scholarly journals Expert System for Aerial Vehicle Deployment System Selection

2021 ◽  
Author(s):  
Ming Yui Edwin Lau
Keyword(s):  
Expert System ◽  
Design Process ◽  
Fuzzy Inference ◽  
Search Algorithm ◽  
Engineering Problem ◽  
Flight Mechanics ◽  
Parametric Search ◽  
Programmable Device ◽  
Aerial Vehicle ◽  
System Selection

An expert system is a programmable device developed to provide automation for engineering problem solving. It is composed of artificial intelligence modules, subroutine functions, and databases. Under this framework, a design process is proposed to assist the conceptual design of aerial vehicles' deployment systems. The problem is first defined by a set of design requirements for take-off, landing, and cruise. The values are then translated to a set of performance parameters needed for the design process via a newly developed parametric search algorithm. Such parameters are categorised by a fuzzy inference module to determine the most suitable deployment-propulsion system, for conventional and V/STOL vehicles. Through the use of linear and neural network regression, a number of aerodynamic terms are estimated to support flight mechanics analyses, where the optimal take-off and landing thrust vectors are determined. Engine specifications are deduced in terms of unit thrust, weight, bypass ratio and dimension. The design process demonstrates effectiveness in sizing engines for V/STOL operations.

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

Design, Fabrication and Flight Testing of a Surveillance UAV

2015 ◽  
Vol 1115 ◽  
pp. 450-453 ◽  
Author(s):  
Moumen Idres ◽  
Burhani Makame ◽  
Bala Nabil Ahmad ◽  
Saleh Naji ◽  
Ahmad Safiuddin
Keyword(s):  
Design Process ◽  
Low Cost ◽  
Flight Test ◽  
Wing Loading ◽  
Rescue Operation ◽  
Low Weight ◽  
Carbon Rods ◽  
Power Loading ◽  
Final Design ◽  
Aerial Vehicle

Unmanned Aerial Vehicle (UAV) is becoming increasingly popular because it can perform variety of functions. These functions include surveillance, reconnaissance, monitoring, data collection and rescue operation. The purpose of this work is to design, fabricate and fly a low weight, low cost, small size UAV for a surveillance mission. The design is carried out based on Advanced Aircraft Analysis (AAA) software. The design process starts with the design specifications for a typical surveillance mission. Aircraft weight, wing loading and power loading were estimated in performance sizing process. Geometry was estimated using preliminary sizing. Aerodynamics of the aircraft was determined, which enabled the performance and stability to be analysed. If the desired performance is not achieved, the sizing is readjusted until a final design is reached. The aircraft was manufactured using foam, carbon rods, and fibreglass. The aircraft successfully flew at the first trial flight. This was followed by a successful flight with aerial photography. Keywords: UAV, design process, fabrication process, composite structure, flight test

A Hybrid-Type Expert System for the Design of Marine Power Plants Using AI Technique and Design Optimization Method

1987 ◽  
Author(s):  
S. Akagi ◽  
T. Tanaka ◽  
H. Kubonishi
Keyword(s):  
Expert System ◽  
Design Process ◽  
Numerical Optimization ◽  
Power Plants ◽  
Optimization Method ◽  
Design Tool ◽  
Production Rules ◽  
Type Representation ◽  
Cad System ◽  
Hybrid Type

Abstract A hybrid-type expert system is developed for supporting the initial design process of marine power plants. Firstly, discussion is given generally to understand design process in the view point of applying the AI technique effectively to design. Based on the result of the discussion, a hybrid-type expert CAD system with coupling the AI technique and the numerical optimization method is developed. In the system, the design knowledge is represented in the production rules, and the data of machineries consisting the plant are described by the frame-type representation. Through the system execution, it is ascertained that the system is effective not only as the design tool assisting designers but also as the tool instructing inexperienced designers.

MS Windows GUI for Linear Spring Design

1993 ◽  
Author(s):  
T. Gary Yip ◽  
Ajay Patel
Keyword(s):  
Expert System ◽  
Design Process ◽  
User Interfaces ◽  
Graphical User Interfaces ◽  
Linear Spring ◽  
Design Software ◽  
Screen Space

Abstract Two versions of a Windows-based linear spring design software have been developed. They are presented here to illustrate how graphical user interfaces can enhance the flow of control of a design process. The software also demonstrates that optimized usage of screen space can make an expert system based design software more intuitive. The two software presented here illustrate that well conceived GUI’s can improve the productivity of a design engineer.

Building an Expert System for Engineering Design Based on the Object-Oriented Knowledge Representation Concept

1988 ◽  
Author(s):  
S. Akagi ◽  
K. Fujita
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Engineering Design ◽  
Design Process ◽  
Model Building ◽  
Object Oriented ◽  
Design Model ◽  
Design Problems ◽  
Design Variables ◽  
Effective Diagnosis

Abstract An expert system is developed for engineering design based on object-oriented knowledge representation concept. The design process is understood as determining design variables and their relationships which compose design model. The design model is represented as a network in the computer system using the object-oriented knowledge representation. The system built with the above concept provides the following abilities: 1) flexible model building and easy modification, 2) effective diagnosis of the design process, 3) supporting method for redesign, 4) a hybrid function with numerical computations and graphics, and 5) applicability for various design problems. Finally, it is applied to the basic design of a ship.

Emerging Application of Fuzzy Expert System in Medical Domain

2015 ◽  
pp. 1-20 ◽  
Author(s):  
A. V. Senthil Kumar ◽  
M. Kalpana
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Inference ◽  
Fuzzy Expert System ◽  
Inference Mechanism ◽  
Medical Practitioners ◽  
Fuzzy Operators ◽  
Decision Making Problem ◽  
Fuzzy Inference Mechanism

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter, construction of Fuzzy expert system is the focused, which helps to diagnosis disease. Fuzzy expert system is constructed by using the fuzzification to convert crisp values into fuzzy values. Fuzzy expert system consists of fuzzy inference, implication, and aggregation. The system contains a set of rules with fuzzy operators T-norm and of T-Conorm. By applying the fuzzy inference mechanism, diagnosis of disease becomes simple for medical practitioners and patients. Defuzzification method is adopted to convert the fuzzy values into crisp values. With crisp values, the knowledge regarding the disease is given to medical doctors and patients. Application of Fuzzy expert system to diagnosis of disease is mainly focused on in this chapter.

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