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Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation de Coen van Gulijk

Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation: Studies in Systems, Decision and Control, cartea 496

Editat de Coen van Gulijk, Elena Zaitseva, Miroslav Kvassay
en Limba Engleză Hardback – 24 sep 2023

Observăm o schimbare de paradigmă în ingineria fiabilității, unde modelele clasice bazate strict pe statistici și probabilități devin insuficiente în fața sistemelor moderne hiper-complexe. Ceea ce diferențiază Reliability Engineering and Computational Intelligence for Complex Systems de documentația tehnică standard este tocmai această fuziune între rigoarea inginerească și flexibilitatea inteligenței computaționale. Volumul nu se limitează la a descrie defectele, ci oferă un cadru metodologic pentru a integra știința datelor în procesul de design și evaluare.

Dacă Computational Intelligence in Reliability Engineering v-a oferit cadrul teoretic fundamental al rețelelor neuronale și logicii fuzzy, această lucrare oferă instrumentele practice necesare pentru implementarea acestora în infrastructuri critice. Apreciem în mod deosebit modul în care editorii Coen van Gulijk, Elena Zaitseva și Miroslav Kvassay au structurat materialul. Cartea progresează de la metode matematice avansate, precum calculul diferențial logic aplicat stocării datelor, către soluții digitale concrete, cum ar fi evaluarea calității testelor software prin mutanți de cod.

Această abordare continuă direcția începută de Coen van Gulijk în lucrările sale anterioare, precum From Safety to Safety Science, unde analiza accidentelor a evoluat spre o știință a siguranței. Aici, focusul se mută pe sinergia dintre disponibilitatea serviciilor software și reducerea ratei de accident în transporturi sau medicină. Structura este riguroasă, incluzând secțiuni dedicate securității rețelelor (hacking DCNs) și fiabilității sistemelor centrate pe pacient, demonstrând că inteligența computațională este acum o componentă indispensabilă a ingineriei sistemelor complexe.

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Specificații

ISBN-13: 9783031409967
ISBN-10: 3031409965
Pagini: 225
Ilustrații: VIII, 225 p. 109 illus., 93 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.57 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

De ce să citești această carte

Recomandăm această carte inginerilor de sistem și cercetătorilor care doresc să depășească limitele analizei tradiționale de fiabilitate. Cititorul câștigă o înțelegere profundă a modului în care algoritmii de inteligență artificială pot anticipa punctele slabe în sisteme unde factorul uman este critic. Este un ghid practic pentru optimizarea siguranței în rețele de distribuție și sisteme informatice mari, oferind metode de calcul precise pentru probabilitățile de traversare a nodurilor în diagrame decizionale.

Despre autor

Coen van Gulijk, Elena Zaitseva și Miroslav Kvassay sunt experți recunoscuți în intersecția dintre siguranța sistemelor și tehnologia informației. Coen van Gulijk are o experiență vastă în știința siguranței, fiind implicat anterior în cercetări despre procesele de accident în industrie și aviație prin lucrări precum Computer Safety, Reliability, and Security. Elena Zaitseva și Miroslav Kvassay contribuie cu expertiză în modelarea matematică și logica aplicată, dezvoltând metode inovatoare pentru evaluarea fiabilității sistemelor complexe și a infrastructurilor de date, elemente esențiale în peisajul tehnologic actual.

Descriere scurtă

This book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions.
In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains. 

Cuprins

Mathematical methods for Reliability Engineering and Computational Intelligence.- Experimental Survey of Algorithms for the Calculation of Node Traversal Probabilities in Multi-valued Decision Diagrams.- Reliability Analysis of Data Storage Using Survival Signature and Logic Differential Calculus.- Digital techniques for Reliability Engineering and Computational Intelligence.- Software tests quality evaluation using code mutants.- Hacking DCNs.

Notă biografică

Coen van Gulijk re-joined TNO in the Netherlands after a five-year post as full professor at the University of Huddersfield at the school of computing and engineering. He remains academically active as a visiting professor at the school of computing and engineering at the University of Huddersfield. His work focuses on the IT transformation Risk Analysis and Safety Management Systems. The objective is to provide industries with modern IT business systems to support risk-based decision making and asset management and to deliver cost reductions, performance enhancements, and optimization in industry. The introduction of AI functionality in safety management software is of special interest. Coen received a Ph.D. degree chemical engineering, applying computational fluid dynamics for aerosol deposition in diesel exhaust gasses. He has produced over 100 scientific papers on various topics and edited and co-edited half a dozen of multi-author books and proceedings.
Elena Zaitseva received the M.S. degree in computer science from the Belarus State University of Informatics and Radioelectronics (BSUIR), Belarus, in 1989 and the Ph.D. degree in computer science from BSUIR in 1994. She worked as Associate Professor at the Department of Informatics of University of Zilina, Slovakia, from 2004 to 2015. Since 2015, she has been Professor at the same department. Her research interests include Reliability Analysis of Multi-state System, Fuzzy Decision Trees, and Decision Support Systems. She is Chair of the Technical Committee of European Safety and Reliability Association. She has more than 140 documents indexed in Scopus and more than 500 citations.
Miroslav Kvassay received the M.S. degree in information systems and the Ph.D. degree in applied informatics from the University of Zilina, Slovakia, in 2012 and 2015, respectively. From 2015 to 2019, he was Assistant Professor at the Department of Informatics of University of Zilina, Slovakia. Since 2019, he has been Associate Professor at the same department. His research interests include applications of Boolean and Multiple-Valued Logic in Reliability Analysis of Binary- and Multi-state Systems, respectively. He has more than 80 documents indexed in Scopus and more than 200 citations.

Caracteristici

Addresses current issues in reliability analysis of complex systems Deals with application of artificial intelligence and machine learning in reliability engineering Treats effective, real-life applications for the merger of reliability engineering and computational intelligence