Intelligent Systems in Aviation 4.0 Industry

Cengiz Kahraman; Serhat Aydın

doi:10.1007/978-3-030-75067-1_2

Intelligent Systems in Aviation 4.0 Industry

Cengiz Kahraman^*
, Serhat Aydın

^*Corresponding author for this work

Department of Industrial Engineering

Turkish National Defence University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

Aviation 4.0 is related to the design of cyber-physical systems which can support humans by aviation information systems and by helping them to make decisions and to complete tasks autonomously. Within aviation 4.0 context, robotics, augmented reality, radio frequency identification, and internet of things are some components of fundamental concepts and aviation 4.0 employs information technology systems and sensors. These connected systems can interact with each other using standard internet protocols and analyze data to predict failures, configure themselves, and adapt to changes. For this aim, intelligent systems are used to interact with human users in changing and dynamic physical and social environments. An intelligent system is a machine with an embedded, internet-connected computer that can gather and analyze data and communicate with other systems. This chapter presents a literature review on the intelligent systems used in aviation 4.0 through tabular and graphical analyses.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	21-38
Number of pages	18
DOIs	https://doi.org/10.1007/978-3-030-75067-1_2
Publication status	Published - 2022

Publication series

Name	Studies in Systems, Decision and Control
Volume	372
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Ant colony optimization
Artificial bee colony
Aviation 4.0
Differential evolution
Fuzzy sets
Genetic algorithms
Intelligence systems
Particle swarm optimization
Simulated annealing
Tabu search

Access to Document

10.1007/978-3-030-75067-1_2

Cite this

@inbook{ca77020235894836badc401b3d35c546,

title = "Intelligent Systems in Aviation 4.0 Industry",

abstract = "Aviation 4.0 is related to the design of cyber-physical systems which can support humans by aviation information systems and by helping them to make decisions and to complete tasks autonomously. Within aviation 4.0 context, robotics, augmented reality, radio frequency identification, and internet of things are some components of fundamental concepts and aviation 4.0 employs information technology systems and sensors. These connected systems can interact with each other using standard internet protocols and analyze data to predict failures, configure themselves, and adapt to changes. For this aim, intelligent systems are used to interact with human users in changing and dynamic physical and social environments. An intelligent system is a machine with an embedded, internet-connected computer that can gather and analyze data and communicate with other systems. This chapter presents a literature review on the intelligent systems used in aviation 4.0 through tabular and graphical analyses.",

keywords = "Ant colony optimization, Artificial bee colony, Aviation 4.0, Differential evolution, Fuzzy sets, Genetic algorithms, Intelligence systems, Particle swarm optimization, Simulated annealing, Tabu search",

author = "Cengiz Kahraman and Serhat Aydın",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2022",

doi = "10.1007/978-3-030-75067-1\_2",

language = "English",

series = "Studies in Systems, Decision and Control",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "21--38",

booktitle = "Studies in Systems, Decision and Control",

address = "Germany",

}

TY - CHAP

T1 - Intelligent Systems in Aviation 4.0 Industry

AU - Kahraman, Cengiz

AU - Aydın, Serhat

PY - 2022

Y1 - 2022

N2 - Aviation 4.0 is related to the design of cyber-physical systems which can support humans by aviation information systems and by helping them to make decisions and to complete tasks autonomously. Within aviation 4.0 context, robotics, augmented reality, radio frequency identification, and internet of things are some components of fundamental concepts and aviation 4.0 employs information technology systems and sensors. These connected systems can interact with each other using standard internet protocols and analyze data to predict failures, configure themselves, and adapt to changes. For this aim, intelligent systems are used to interact with human users in changing and dynamic physical and social environments. An intelligent system is a machine with an embedded, internet-connected computer that can gather and analyze data and communicate with other systems. This chapter presents a literature review on the intelligent systems used in aviation 4.0 through tabular and graphical analyses.

AB - Aviation 4.0 is related to the design of cyber-physical systems which can support humans by aviation information systems and by helping them to make decisions and to complete tasks autonomously. Within aviation 4.0 context, robotics, augmented reality, radio frequency identification, and internet of things are some components of fundamental concepts and aviation 4.0 employs information technology systems and sensors. These connected systems can interact with each other using standard internet protocols and analyze data to predict failures, configure themselves, and adapt to changes. For this aim, intelligent systems are used to interact with human users in changing and dynamic physical and social environments. An intelligent system is a machine with an embedded, internet-connected computer that can gather and analyze data and communicate with other systems. This chapter presents a literature review on the intelligent systems used in aviation 4.0 through tabular and graphical analyses.

KW - Ant colony optimization

KW - Artificial bee colony

KW - Aviation 4.0

KW - Differential evolution

KW - Fuzzy sets

KW - Genetic algorithms

KW - Intelligence systems

KW - Particle swarm optimization

KW - Simulated annealing

KW - Tabu search

UR - https://www.scopus.com/pages/publications/85114892233

U2 - 10.1007/978-3-030-75067-1_2

DO - 10.1007/978-3-030-75067-1_2

M3 - Chapter

AN - SCOPUS:85114892233

T3 - Studies in Systems, Decision and Control

SP - 21

EP - 38

BT - Studies in Systems, Decision and Control

PB - Springer Science and Business Media Deutschland GmbH

ER -

Intelligent Systems in Aviation 4.0 Industry

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this