Data-Driven Remaining Useful Life Prognosis Techniques

Name: Data-Driven Remaining Useful Life Prognosis Techniques
SKU: 26246904
Price: 490.99 AUD
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Stochastic Models, Methods and Applications

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Hardback

Series:

Springer Series in Reliability Engineering,

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Description

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

Release date Australia

February 9th, 2017

Author

Audience

Professional & Vocational

Edition

1st ed. 2017

Illustrations

84 Illustrations, color; 20 Illustrations, black and white; XVII, 430 p. 104 illus., 84 illus. in color.

Pages

430

Series

Springer Series in Reliability Engineering,

Dimensions

155x235x25

ISBN-13

9783662540282

Product ID

26246904

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Data-Driven Remaining Useful Life Prognosis Techniques

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