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Author : Steven L. Brunton,J. Nathan Kutz
Publisher : Cambridge University Press
Page : 615 pages
File Size : 46,9 Mb
Release : 2022-05-05
Category : Computers
ISBN : 9781009098489
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Author : Gang Niu
Publisher : Springer
Page : 357 pages
File Size : 42,5 Mb
Release : 2016-07-27
Category : Technology & Engineering
ISBN : 9789811020322
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
Author : James Wen
Publisher : Unknown
Page : 128 pages
File Size : 40,5 Mb
Release : 2022-02-12
Category : Electronic
ISBN : 9798985624922
Every computing system has two, and only two attributes: Data Value and Data timing, which represent fully the system functionalities from the system external behavior point of view.The data driven system engineering is the approach to develop the system by focusing on the two attributes mentioned above, in which, the data values are derived by the system operation concept design, and the data timing is derived by the system latency design. Based on which, this book provides a full range of system and software engineering development activities: Requirement Elicitation Requirement Engineering System and Software Architecture Design System Operation Concept Design System and Software Structure Design Electronic Architect Design Functionality Allocation Failure Mode and Effect Analysis (FMEA) Safety Cybersecurity System and software Verification System and Software Integration and Verification System and Software Black Box VerificationEach of which has its own clearly defined scope and approach, which is different from the conventional development, in some cases even different from some ISO standards, for example: about the safety development in this book, the safety requirements for every part in a vehicle are cascaded from the vehicle safety requirements, which is different from the Concept Phase in the Part 3 of ISO 26262; about the error prevention in this book, there are only two types of errors to be detected in a computing system: Data Value error and Data Timing error.
Author : James Wen
Publisher : James Wen
Page : 250 pages
File Size : 48,6 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9798985624915
This book provides full scope of automotive ECU development activities including cybersecurity and safety plus SOTIF. Every computing system has two, and only two attributes: Data Value and Data timing, which represent fully the system functionalities from the system external behavior point of view. The data driven system engineering is the approach to develop the system by focusing on the two attributes mentioned above, in which, the data values are derived by the system operation concept design, and the data timing is derived by the system latency design. Based on which, this book provides a full range of system and software engineering development activities: Requirement Elicitation Requirement Engineering System and Software Architecture Design System Operation Concept Design System and Software Structure Design Electronic Architect Design Functionality Allocation Failure Mode and Effect Analysis (FMEA) Safety including SOTIF Cybersecurity (full compliant with UN ECE 155/156) System and software Verification System and Software Integration and Verification System and Software Black Box Verification each of which has its own clearly defined scope and approach, which is different from the conventional development, in some cases even different from some ISO standards, for example: Safety Development: the safety requirements for every part in a vehicle are cascaded from the vehicle safety requirements, which is different from the Concept Phase in the Part 3 of ISO 26262, and the functional safety development will be fully covered by (1) Reliability (2) Availability (3) Quality. Error Detection and Protection: there are only two types of errors to be detected in a computing system: Data Value error and Data Timing error, to detect which, there are only two aspects to be considered: (1) input data (2) middle data and output data in addition to the platform error detection. The approaches of detection and protection include (1) data transfer protocol check, (2) data range and reasonable value check, (3) execution time check and control. FMEA: this book provides the optimized approach by following the data relationships between the input data, middle data and output data, which will be both inductive and deductive, and re-use the system operation concept that is built at the system development first phase, to make the development efficient. Cybersecurity: this book provides the full solution to cover the UN ECE 155 by implementing three aspects: (1) Trusted contents in the ECU (2) Authenticated access to the ECU (3) Authenticated communication with the ECU. Requirement Engineering: This book makes the goal and scope of requirement engineering in the computing system development specific, accurate and measurable by defining the scope as: the requirement engineering is to use the computer executable information to describe the system under development which consists only two types of information: Signal and Test Case, and defining the requirement quality measurement as: (1) Signals, either input or output signals, shall be computer readable. (2) Test cases shall be executable in the system. System Architecture Design: The goal of system architecture design is to provide the platform that transfers and transforms the input signal to become the required output signal via some middle data. This book introduces the following system functional modulizations based on the AUTOSAR that satisfies a generic automotive ECU structure: (1) Feature Function (2) Diagnostic Service (3) Cybersecurity Function (4) Serial Signal Manager (5) Application Mode Manager (6) AUTOSAR, and based on the characteristics of those functions, the book provides the approach to design the electronic architecture and allocate the functions to the architecture.
Author : Ang Liu,Yuchen Wang,Xingzhi Wang
Publisher : Springer Nature
Page : 203 pages
File Size : 44,8 Mb
Release : 2021-10-09
Category : Technology & Engineering
ISBN : 9783030881818
This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.
Author : John M. Borky,Thomas H. Bradley
Publisher : Springer
Page : 779 pages
File Size : 43,9 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9783319956695
This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.
Author : Joshua Jahani
Publisher : John Wiley & Sons
Page : 279 pages
File Size : 46,7 Mb
Release : 2023-10-30
Category : Business & Economics
ISBN : 9781394202331
Expand your enterprise into new regions using systems engineering and data analysis In Data Driven Decisions: Systems Engineering to Understand Corporate Valuation and Intangible Assets, investment banker, systems engineer, and Cornell University lecturer Joshua Michael Jahani delivers an incisive and unique unveiling of how to use the tools of systems engineering to value your organization, its intangible assets, and how to gauge or prepare its readiness for an overseas or cross-border expansion. In the book, you’ll learn to implement a wide range of systems engineering tools, including context diagrams, decision matrices, Goal-Question-Metric analyses, and more. You’ll also discover the following: How to communicate corporate value measurements and their impact to owners, executives, and investors. Explorations of the relevant topics when considering an international expansion, including macroeconomics, joint ventures, market entry, corporate valuations, mergers and acquisitions, and company culture. A comprehensive framework and methodology for examining available global regions in your search for the perfect expansion target. A deep understanding of specific sectors in which intangible assets have a particular impact, including branded consumer products, ad-tech, and healthcare. A must-have resource for business owners, managers, executives, directors, and other corporate leaders, Data-Driven Decisions will also prove invaluable to consultants and other professionals who serve companies considering expansion or growth into new regions.
Author : Ron S. Kenett,Robert S. Swarz,Avigdor Zonnenshain
Publisher : John Wiley & Sons
Page : 656 pages
File Size : 53,8 Mb
Release : 2019-12-10
Category : Technology & Engineering
ISBN : 9781119513940
An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource: Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems Explores effective evidence-based risk management practices Describes an integrated approach to safety, reliability, and cyber security based on system theory Discusses entrepreneurship as a multidisciplinary system Emphasizes technical merits of systems engineering concepts by providing technical models Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.
Author : J. Nathan Kutz
Publisher : Oxford University Press
Page : 657 pages
File Size : 51,6 Mb
Release : 2013-08-08
Category : Computers
ISBN : 9780199660339
Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.
Author : Carlo Novara,Simone Formentin
Publisher : Control, Robotics and Sensors
Page : 300 pages
File Size : 40,6 Mb
Release : 2019-09
Category : Technology & Engineering
ISBN : 9781785617126
Using important examples, this book showcases the potential of the latest data-based and data-driven methodologies for filter and control design. It discusses the most important classes of dynamic systems, along with the statistical and set membership analysis and design frameworks.
Author : Satish Mahadevan Srinivasan,Phillip A. Laplante
Publisher : CRC Press
Page : 250 pages
File Size : 45,6 Mb
Release : 2023-04-13
Category : Computers
ISBN : 9781000859720
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making Introduces various approaches to build models that exploits different algorithms Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets Explores the augmentation of technical and mathematical materials with explanatory worked examples Includes a glossary, self-assessments, and worked-out practice exercises Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.
Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
Page : 658 pages
File Size : 55,9 Mb
Release : 2017-03-16
Category : Computers
ISBN : 9781491903100
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Author : Azad M. Madni,Norman Augustine,Michael Sievers
Publisher : Springer Nature
Page : 1362 pages
File Size : 55,8 Mb
Release : 2023-07-25
Category : Technology & Engineering
ISBN : 9783030935825
This handbook brings together diverse domains and technical competences of Model Based Systems Engineering (MBSE) into a single, comprehensive publication. It is intended for researchers, practitioners, and students/educators who require a wide-ranging and authoritative reference on MBSE with a multidisciplinary, global perspective. It is also meant for those who want to develop a sound understanding of the practice of systems engineering and MBSE, and/or who wish to teach both introductory and advanced graduate courses in systems engineering. It is specifically focused on individuals who want to understand what MBSE is, the deficiencies in current practice that MBSE overcomes, where and how it has been successfully applied, its benefits and payoffs, and how it is being deployed in different industries and across multiple applications. MBSE engineering practitioners and educators with expertise in different domains have contributed chapters that address various uses of MBSE and related technologies such as simulation and digital twin in the systems lifecycle. The introductory chapter reviews the current state of practice, discusses the genesis of MBSE and makes the business case. Subsequent chapters present the role of ontologies and meta-models in capturing system interdependencies, reasoning about system behavior with design and operational constraints; the use of formal modeling in system (model) verification and validation; ontology-enabled integration of systems and system-of-systems; digital twin-enabled model-based testing; system model design synthesis; model-based tradespace exploration; design for reuse; human-system integration; and role of simulation and Internet-of-Things (IoT) within MBSE.
Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 306 pages
File Size : 44,5 Mb
Release : 2014-04-12
Category : Technology & Engineering
ISBN : 9781447164104
Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.
Author : Frederica Darema,Erik P. Blasch,Sai Ravela,Alex J. Aved
Publisher : Springer Nature
Page : 937 pages
File Size : 40,7 Mb
Release : 2023-10-16
Category : Computers
ISBN : 9783031279867
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
