Fault Diagnosis Inverse Problems: Solution with Metaheuristics

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Publisher : Springer
ISBN 13 : 3319899783
Total Pages : 167 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Fault Diagnosis Inverse Problems: Solution with Metaheuristics by : Lídice Camps Echevarría

Download or read book Fault Diagnosis Inverse Problems: Solution with Metaheuristics written by Lídice Camps Echevarría and published by Springer. This book was released on 2018-05-28 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

Complex Systems: Spanning Control and Computational Cybernetics: Applications

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Publisher : Springer Nature
ISBN 13 : 3031009789
Total Pages : 551 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Complex Systems: Spanning Control and Computational Cybernetics: Applications by : Peng Shi

Download or read book Complex Systems: Spanning Control and Computational Cybernetics: Applications written by Peng Shi and published by Springer Nature. This book was released on 2022-09-18 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, dedicated to Professor Georgi M. Dimirovski on his anniversary, contains new research directions, challenges, and many relevant applications related to many aspects within the broadly perceived areas of systems and control, including signal analysis and intelligent systems. The project comprises two volumes with papers written by well known and very active researchers and practitioners. The first volume is focused on more foundational aspects related to general issues in systems science and mathematical systems, various problems in control and automation, and the use of computational and artificial intelligence in the context of systems modeling and control. The second volume is concerned with a presentation of relevant applications, notably in robotics, computer networks, telecommunication, fault detection/diagnosis, as well as in biology and medicine, and economic, financial, and social systems too.

Monitoring Multimode Continuous Processes

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Publisher : Springer Nature
ISBN 13 : 3030547388
Total Pages : 153 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Monitoring Multimode Continuous Processes by : Marcos Quiñones-Grueiro

Download or read book Monitoring Multimode Continuous Processes written by Marcos Quiñones-Grueiro and published by Springer Nature. This book was released on 2020-08-04 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

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Publisher : Springer
ISBN 13 : 331996433X
Total Pages : 284 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering by : Gustavo Mendes Platt

Download or read book Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering written by Gustavo Mendes Platt and published by Springer. This book was released on 2018-09-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems. The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.

Mathematical Modeling and Computational Intelligence in Engineering Applications

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Publisher : Springer
ISBN 13 : 331938869X
Total Pages : 179 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Mathematical Modeling and Computational Intelligence in Engineering Applications by : Antônio José da Silva Neto

Download or read book Mathematical Modeling and Computational Intelligence in Engineering Applications written by Antônio José da Silva Neto and published by Springer. This book was released on 2016-08-12 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Solving Fault Diagnosis Problems

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Publisher : Springer
ISBN 13 : 3319515594
Total Pages : 412 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Solving Fault Diagnosis Problems by : Andreas Varga

Download or read book Solving Fault Diagnosis Problems written by Andreas Varga and published by Springer. This book was released on 2017-02-14 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the gap between the existing well-developed theoretical results and the realm of reliable computational synthesis procedures. The model-based approach to fault detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and isolation filters are not satisfactory from a numerical standpoint. Several features make this book unique in the fault detection literature: Solution of standard synthesis problems in the most general setting, for both continuous- and discrete-time systems, regardless of whether they are proper or not; consequently, the proposed synthesis procedures can solve a specific problem whenever a solution exists Emphasis on the best numerical algorithms to solve the synthesis problems for linear systems in generalized state-space form (also known as descriptor systems) Development of general synthesis procedures relying on new computational paradigms, such as factorization-based design based on filter updating techniques and nullspace-based synthesis Availability of a comprehensive set of free accompanying software tools for descriptor systems, which allows readers to easily implement all synthesis procedures presented in the book and ensures that all results are reproducible This book is primarily intended for researchers and advanced graduate students in the areas of fault diagnosis and fault-tolerant control. It will also appeal to mathematicians with an interest in control-oriented numerics.

Chemical Process Design, Simulation and Optimization

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Publisher : MDPI
ISBN 13 : 3036500960
Total Pages : 352 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Chemical Process Design, Simulation and Optimization by : Jean-Pierre Corriou

Download or read book Chemical Process Design, Simulation and Optimization written by Jean-Pierre Corriou and published by MDPI. This book was released on 2021-02-19 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a series of articles devoted to modeling, simulation, and optimization of processes, mainly chemical. General methods for process modeling and numerical simulation are described with flowsheeting. Population balances are addressed in detail with application to crystal production; energy saving is frequently optimized, including exergy analysis. The coupling between process simulation and computational fluid dynamics is studied for air classification and bubble columns. Pressure swing adsorption, reactive distillation, and nanofiltration are explained in general and applied to particular processes. The synthesis of carbon dots is solved by the design of experiments method. A safety study addresses the consequences of gas explosion.

Computational Intelligence Applied to Inverse Problems in Radiative Transfer

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Publisher : Springer Nature
ISBN 13 : 3031435443
Total Pages : 258 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Computational Intelligence Applied to Inverse Problems in Radiative Transfer by : Antônio José da Silva Neto

Download or read book Computational Intelligence Applied to Inverse Problems in Radiative Transfer written by Antônio José da Silva Neto and published by Springer Nature. This book was released on 2024-01-13 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-depth exploration of heuristic optimization methods, each meticulously described and accompanied by historical context and natural process analogies. From simulated annealing and genetic algorithms to artificial neural networks, ant colony optimization, and particle swarms, this volume presents a wide range of heuristic methods. Additional approaches such as generalized extreme optimization, particle collision, differential evolution, Luus-Jaakola, and firefly algorithms are also discussed, providing a rich repertoire of tools for tackling challenging problems. While the applications showcased primarily focus on radiative transfer, their potential extends to various domains, particularly nonlinear and large-scale problems where traditional deterministic methods fall short. With clear and comprehensive presentations, this book empowers readers to adapt each method to their specific needs. Furthermore, practical examples of classical optimization problems and application suggestions are included to enhance your understanding. This book is suitable to any researcher or practitioner whose interests lie on optimization techniques based in artificial intelligence and bio-inspired algorithms, in fields like Applied Mathematics, Engineering, Computing, and cross-disciplinary areas.

Metaheuristics for Medicine and Biology

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Publisher : Springer
ISBN 13 : 3662544288
Total Pages : 221 pages
Book Rating : 4.80/5 ( download)

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Book Synopsis Metaheuristics for Medicine and Biology by : Amir Nakib

Download or read book Metaheuristics for Medicine and Biology written by Amir Nakib and published by Springer. This book was released on 2017-03-22 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.

Hybrid Metaheuristics for Image Analysis

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Publisher : Springer
ISBN 13 : 3319776258
Total Pages : 256 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Hybrid Metaheuristics for Image Analysis by : Siddhartha Bhattacharyya

Download or read book Hybrid Metaheuristics for Image Analysis written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2018-07-30 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.