Machine Learning and Data Mining in Aerospace Technology

Machine Learning and Data Mining in Aerospace Technology PDF

Author: Aboul Ella Hassanien

Publisher: Springer

Published: 2019-07-02

Total Pages: 232

ISBN-13: 3030202127

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This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering. This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.

Computational Intelligence in Aerospace Engineering

Computational Intelligence in Aerospace Engineering PDF

Author: Wenbin Song

Publisher: Elsevier

Published: 2016-06-01

Total Pages: 352

ISBN-13: 9780124077461

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Computational Intelligence in Aerospace Engineering focuses on various CI methods that can be applied to improve the efficiency and effectiveness of aerospace design through the use of numerical simulation. Using detailed case studies and examples, author Wenbin Song takes readers through the scenarios that can benefit from a CI approach, presenting a consistent framework for aerospace design incorporating elements such as neural networks, fuzzy logic systems, and evolutionary computation. The text is ideal for engineers or researchers who lack a computer science background, but still need to apply computational methods. It will help users take aerospace modeling, simulation, and optimization efforts to the next level. Contains a detailed discussion of computational modeling, simulation, and optimization methods in aerospace design, with unique aerospace-specific coverage of computational intelligence elements Provides case studies and examples with industrial significance Presents a novel framework for improving the efficiency and effectiveness of aerospace design using computational intelligence methods

Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries

Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries PDF

Author: Shmelova, Tetiana

Publisher: IGI Global

Published: 2019-10-11

Total Pages: 517

ISBN-13: 1799814173

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With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.

Advances in Computational Intelligence and Autonomy for Aerospace Systems

Advances in Computational Intelligence and Autonomy for Aerospace Systems PDF

Author: John Valasek

Publisher:

Published: 2018

Total Pages: 0

ISBN-13: 9781624104787

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Provides the aerospace researcher and the practicing aerospace engineer with insight into the latest innovative methods and approaches regarding intelligent and autonomous aerospace systems. Coverage includes Intelligent Space Systems, Intelligent Validation and Verification Methods, Intelligent Health Monitoring, and Intelligent Flight Control.

Advances in Computational Intelligence and Autonomy for Aerospace Systems

Advances in Computational Intelligence and Autonomy for Aerospace Systems PDF

Author: John Valasek

Publisher:

Published: 2018

Total Pages: 431

ISBN-13: 9781523120673

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"A follow-on volume to Advances in Intelligent and Autonomous Aerospace Systems (AIAA, 2012), Advances in Computational Intelligence and Autonomy for Aerospace Systems seeks tp provide both the aerospace researcher and the practicing aerospace engineer with further insight into the latest innovative methods and approaches regarding intelligent and autonomous aerospace systems."--Page [4] of cover.

Advances in Intelligent and Autonomous Aerospace Systems

Advances in Intelligent and Autonomous Aerospace Systems PDF

Author: John Valasek

Publisher: Progress in Astronautics and A

Published: 2012

Total Pages: 0

ISBN-13: 9781600868979

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Research advances in embedded computational intelligence, communication, control, and new mechanisms for sensing, actuation, and adaptation hold the promise to transform aerospace. The result will be air and space vehicles, propulsion systems, exploration systems, and vehicle management systems that respond more quickly, provide large-scale distributed coordination, work in dangerous or inaccessible environments, and augment human capabilities. Advances in Intelligent and Autonomous Aerospace Systems seeks to provide both the aerospace researcher and the practicing aerospace engineer with an exposition on the latest innovative methods and approaches that focus on intelligent and autonomous aerospace systems. The chapters are written by leading researchers in this field, and include ideas, directions, and recent results on intelligent aerospace research issues with a focus on dynamics and control, systems engineering, and aerospace design. The content on uncertainties, modeling of large and highly non-linear complex systems, robustness, and adaptivity is intended to be useful in both the sub-system and the overall system level design and analysis of various aerospace vehicles.A broad spectrum of methods and approaches are presented, including: * Bio-Inspiration * Fuzzy Logic * Genetic Algorithms * Q-Learning * Markov Decision Processes * Approximate Dynamic Programming * Artificial Neural Networks * Probabilistic Maps * Multi-Agent Systems * Kalman, particle, and confidence filtering

Condition Monitoring Using Computational Intelligence Methods

Condition Monitoring Using Computational Intelligence Methods PDF

Author: Tshilidzi Marwala

Publisher: Springer Science & Business Media

Published: 2012-01-25

Total Pages: 247

ISBN-13: 1447123808

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Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

Computational Intelligence in Logistics and Supply Chain Management

Computational Intelligence in Logistics and Supply Chain Management PDF

Author: Thomas Hanne

Publisher: Springer

Published: 2016-07-27

Total Pages: 176

ISBN-13: 3319407228

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This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

Automated Systems in the Aviation and Aerospace Industries

Automated Systems in the Aviation and Aerospace Industries PDF

Author: Shmelova, Tetiana

Publisher: IGI Global

Published: 2019-03-22

Total Pages: 486

ISBN-13: 1522577106

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Air traffic controllers need advanced information and automated systems to provide a safe environment for everyone traveling by plane. One of the primary challenges in developing training for automated systems is to determine how much a trainee will need to know about the underlying technologies to use automation safely and efficiently. To ensure safety and success, task analysis techniques should be used as the basis of the design for training in automated systems in the aviation and aerospace industries. Automated Systems in the Aviation and Aerospace Industries is a pivotal reference source that provides vital research on the application of underlying technologies used to enforce automation safety and efficiency. While highlighting topics such as expert systems, text mining, and human-machine interface, this publication explores the concept of constructing navigation algorithms, based on the use of video information and the methods of the estimation of the availability and accuracy parameters of satellite navigation. This book is ideal for aviation professionals, researchers, and managers seeking current research on information technology used to reduce the risk involved in aviation.

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