Data Driven Technology For Engineering Systems Health Management

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Data-Driven Technology for Engineering Systems Health Management

Author : Gang Niu
Publisher : Springer
Page : 357 pages
File Size : 51,7 Mb
Release : 2016-07-27
Category : Technology & Engineering
ISBN : 9789811020322

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Data-Driven Technology for Engineering Systems Health Management by Gang Niu Pdf

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.

Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring

Author : Cemal Basaran
Publisher : MDPI
Page : 238 pages
File Size : 54,8 Mb
Release : 2021-01-13
Category : Technology & Engineering
ISBN : 9783039438075

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Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring by Cemal Basaran Pdf

Traditionally fatigue, fracture, damage mechanics are predictions are based on empirical curve fitting models based on experimental data. However, when entropy is used as the metric for degradation of the material, the modeling process becomes physics based rather than empirical modeling. Because, entropy generation in a material can be calculated from the fundamental equation of thematerial. This collection of manuscripts is about using entropy for "Fatigue, Fracture, Failure Prediction and Structural Health Monitoring". The theoretical paper in the collection provides the mathematical and physics framework behind the unified mechanics theory, which unifies universal laws of motion of Newton and laws of thermodynamics at ab-initio level. Unified Mechanics introduces an additional axis called, Thermodynamic State Index axis which is linearly independent from Newtonian space x, y, z and time. As a result, derivative of displacement with respect to entropy is not zero, in unified mechanics theory, as in Newtonian mechanics. Any material is treated as a thermodynamic system and fundamental equation of the material is derived. Fundamental equation defines entropy generation rate in the system. Experimental papers in the collection prove validity of using entropy as a stable metric for Fatigue, Fracture, Failure Prediction and Structural Health Monitoring.

Reliability and Statistics in Transportation and Communication

Author : Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis
Publisher : Springer Nature
Page : 717 pages
File Size : 44,8 Mb
Release : 2020-03-28
Category : Technology & Engineering
ISBN : 9783030446109

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Reliability and Statistics in Transportation and Communication by Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Pdf

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.

Data-Driven Science and Engineering

Author : Steven L. Brunton,J. Nathan Kutz
Publisher : Cambridge University Press
Page : 495 pages
File Size : 42,5 Mb
Release : 2019-02-28
Category : Computers
ISBN : 9781108422093

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Data-Driven Science and Engineering by Steven L. Brunton,J. Nathan Kutz Pdf

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018

Author : Jemal Abawajy,Kim-Kwang Raymond Choo,Rafiqul Islam,Zheng Xu,Mohammed Atiquzzaman
Publisher : Springer
Page : 1367 pages
File Size : 41,5 Mb
Release : 2018-11-05
Category : Technology & Engineering
ISBN : 9783319987767

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International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 by Jemal Abawajy,Kim-Kwang Raymond Choo,Rafiqul Islam,Zheng Xu,Mohammed Atiquzzaman Pdf

The book highlights innovative ideas, cutting-edge findings, and novel techniques, methods and applications touching on all aspects of technology and intelligence in smart city management and services. Above all, it explores developments and applications that are of practical use and value for Cyber Intelligence-related methods, which are frequently used in the context of city management and services.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author : Ashok N. Srivastava,Jiawei Han
Publisher : CRC Press
Page : 505 pages
File Size : 48,5 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781000755718

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management by Ashok N. Srivastava,Jiawei Han Pdf

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Prognostics and Health Management of Engineering Systems

Author : Nam-Ho Kim,Dawn An,Joo-Ho Choi
Publisher : Springer
Page : 347 pages
File Size : 47,8 Mb
Release : 2016-10-24
Category : Technology & Engineering
ISBN : 9783319447421

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Prognostics and Health Management of Engineering Systems by Nam-Ho Kim,Dawn An,Joo-Ho Choi Pdf

This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:• Prognostics tutorials using least-squares• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter• Data-driven prognostics algorithms including Gaussian process regression and neural network• Comparison of different prognostics algorithms divThe authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.

Industrial Data Analytics for Diagnosis and Prognosis

Author : Shiyu Zhou,Yong Chen
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 45,9 Mb
Release : 2021-07-21
Category : Mathematics
ISBN : 9781119666288

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Industrial Data Analytics for Diagnosis and Prognosis by Shiyu Zhou,Yong Chen Pdf

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Advances in Intelligent Systems, Computer Science and Digital Economics

Author : Zhengbing Hu,Sergey Petoukhov,Matthew He
Publisher : Springer Nature
Page : 473 pages
File Size : 43,5 Mb
Release : 2020-01-23
Category : Technology & Engineering
ISBN : 9783030392161

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Advances in Intelligent Systems, Computer Science and Digital Economics by Zhengbing Hu,Sergey Petoukhov,Matthew He Pdf

This book comprises high-quality, refereed research papers presented at the 2019 International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2019): The symposium, held in Moscow, Russia, on 4–6 October 2019, was organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The book discusses the state of the art in areas such as computer science and its technological applications; intelligent systems and intellectual approaches; and digital economics and methodological approaches. It is an excellent reference resource for researchers, undergraduate and graduate students, engineers, and management practitioners interested in computer science and its applications in engineering and management.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author : Ashok N. Srivastava,Jiawei Han
Publisher : CRC Press
Page : 502 pages
File Size : 53,9 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439841792

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management by Ashok N. Srivastava,Jiawei Han Pdf

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

International Conference on Artificial Intelligence for Smart Community

Author : Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar
Publisher : Springer Nature
Page : 1049 pages
File Size : 55,9 Mb
Release : 2022-11-13
Category : Technology & Engineering
ISBN : 9789811621833

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International Conference on Artificial Intelligence for Smart Community by Rosdiazli Ibrahim,K. Porkumaran,Ramani Kannan,Nursyarizal Mohd Nor,S. Prabakar Pdf

This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17–18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications.

Integrated System Health Management

Author : Jiuping Xu,Lei Xu
Publisher : Academic Press
Page : 472 pages
File Size : 45,8 Mb
Release : 2017-05-18
Category : Technology & Engineering
ISBN : 9780128132685

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Integrated System Health Management by Jiuping Xu,Lei Xu Pdf

ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors. This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering. Solves prognostic information selection and decision-level information fusion issues Presents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessment Proposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systems Explains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction

Corrosion Processes

Author : George Vachtsevanos,K. A. Natarajan,Ravi Rajamani,Peter Sandborn
Publisher : Springer Nature
Page : 339 pages
File Size : 42,7 Mb
Release : 2020-01-01
Category : Technology & Engineering
ISBN : 9783030328313

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Corrosion Processes by George Vachtsevanos,K. A. Natarajan,Ravi Rajamani,Peter Sandborn Pdf

This book discusses relevant topics in field of corrosion, from sensing strategies to modeling of control processes, corrosion prevention, detection of corrosion initiation, prediction of corrosion growth and evolution, to maintenance practices and return on investment.Written by leading international experts, it combines mathematical and scientific rigor with multiple case studies, examples, colorful images, case studies and numerous references exploring the essentials of corrosion in depth. It appeals to a wide readership, including corrosion engineers, managers, students and industrial and government staff, and can serve as a reference text for courses in materials, mechanical and aerospace engineering, as well as anyone working on corrosion processes.