Data Driven Technology For Engineering Systems Health Management
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Data Driven Technology for Engineering Systems Health Management
Author | : Gang Niu |
Publsiher | : Springer |
Total Pages | : 357 |
Release | : 2016-07-27 |
Genre | : Technology & Engineering |
ISBN | : 9789811020322 |
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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.
Data Driven Approach for Bio medical and Healthcare
Author | : Nilanjan Dey |
Publsiher | : Springer |
Total Pages | : 0 |
Release | : 2023-10-29 |
Genre | : Technology & Engineering |
ISBN | : 9811951861 |
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The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
Entropy Based Fatigue Fracture Failure Prediction and Structural Health Monitoring
Author | : Cemal Basaran |
Publsiher | : MDPI |
Total Pages | : 238 |
Release | : 2021-01-13 |
Genre | : Technology & Engineering |
ISBN | : 9783039438075 |
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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.
Data Driven Science and Engineering
Author | : Steven L. Brunton,J. Nathan Kutz |
Publsiher | : Cambridge University Press |
Total Pages | : 495 |
Release | : 2019-02-28 |
Genre | : Computers |
ISBN | : 9781108422093 |
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This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.
Reliability and Statistics in Transportation and Communication
Author | : Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis |
Publsiher | : Springer Nature |
Total Pages | : 717 |
Release | : 2020-03-28 |
Genre | : Technology & Engineering |
ISBN | : 9783030446109 |
Download Reliability and Statistics in Transportation and Communication Book in PDF, Epub and Kindle
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.
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 |
Publsiher | : Springer |
Total Pages | : 1367 |
Release | : 2018-11-05 |
Genre | : Technology & Engineering |
ISBN | : 9783319987767 |
Download International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 Book in PDF, Epub and Kindle
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 |
Publsiher | : CRC Press |
Total Pages | : 505 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 9781000755718 |
Download Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book in PDF, Epub and Kindle
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.
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Author | : Ashok Srivastava |
Publsiher | : Unknown |
Total Pages | : 502 |
Release | : 2016 |
Genre | : Electronic Book |
ISBN | : OCLC:1142100401 |
Download Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book in PDF, Epub and Kindle
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.