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Prognostics and Health Management of Engineering Systems

2016-10-24 Technology & Engineering
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Release : 2016-10-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 424/5 ( reviews)

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Book Synopsis Prognostics and Health Management of Engineering Systems by : Nam-Ho Kim

Download or read book Prognostics and Health Management of Engineering Systems written by Nam-Ho Kim. This book was released on 2016-10-24. Available in PDF, EPUB and Kindle. Book excerpt: 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.

From Prognostics and Health Systems Management to Predictive Maintenance 1

2016-10-14 Technology & Engineering
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Release : 2016-10-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 023/5 ( reviews)

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Book Synopsis From Prognostics and Health Systems Management to Predictive Maintenance 1 by : Rafael Gouriveau

Download or read book From Prognostics and Health Systems Management to Predictive Maintenance 1 written by Rafael Gouriveau. This book was released on 2016-10-14. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.

Diagnostics and Prognostics of Engineering Systems: Methods and Techniques

2012-09-30 Technology & Engineering
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Release : 2012-09-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 96X/5 ( reviews)

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Book Synopsis Diagnostics and Prognostics of Engineering Systems: Methods and Techniques by : Kadry, Seifedine

Download or read book Diagnostics and Prognostics of Engineering Systems: Methods and Techniques written by Kadry, Seifedine. This book was released on 2012-09-30. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the system’s performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the method’s effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.

Prognostics and Health Management of Engineering Systems

2018-06-23 Science
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Release : 2018-06-23
Genre : Science
Kind : eBook
Book Rating : 268/5 ( reviews)

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Book Synopsis Prognostics and Health Management of Engineering Systems by : Nam-Ho Kim

Download or read book Prognostics and Health Management of Engineering Systems written by Nam-Ho Kim. This book was released on 2018-06-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Methods for Reliability and Risk Analysis

2009 Technology & Engineering
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Release : 2009
Genre : Technology & Engineering
Kind : eBook
Book Rating : 011/5 ( reviews)

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Book Synopsis Computational Methods for Reliability and Risk Analysis by : Enrico Zio

Download or read book Computational Methods for Reliability and Risk Analysis written by Enrico Zio. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.

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