Prognostics and Health Management of Engineering Systems

Prognostics and Health Management of Engineering Systems
Author :
Publisher : Springer
Total Pages : 355
Release :
ISBN-10 : 9783319447421
ISBN-13 : 3319447424
Rating : 4/5 (424 Downloads)

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 and published by Springer. This book was released on 2016-10-24 with total page 355 pages. 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.


Prognostics and Health Management of Engineering Systems Related Books

Prognostics and Health Management of Engineering Systems
Language: en
Pages: 355
Authors: Nam-Ho Kim
Categories: Technology & Engineering
Type: BOOK - Published: 2016-10-24 - Publisher: Springer

GET EBOOK

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
Diagnostics and Prognostics of Engineering Systems: Methods and Techniques
Language: en
Pages: 461
Authors: Kadry, Seifedine
Categories: Technology & Engineering
Type: BOOK - Published: 2012-09-30 - Publisher: IGI Global

GET EBOOK

Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essenti
Data-Driven Technology for Engineering Systems Health Management
Language: en
Pages: 364
Authors: Gang Niu
Categories: Technology & Engineering
Type: BOOK - Published: 2016-07-27 - Publisher: Springer

GET EBOOK

This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach f
From Prognostics and Health Systems Management to Predictive Maintenance 1
Language: en
Pages: 187
Authors: Rafael Gouriveau
Categories: Technology & Engineering
Type: BOOK - Published: 2016-10-14 - Publisher: John Wiley & Sons

GET EBOOK

This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisiti
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Language: en
Pages: 489
Authors: Ashok N. Srivastava
Categories: Computers
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

GET EBOOK

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineere