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Title
Data-driven remaining useful life prognosis techniques : stochastic models, methods and applications / Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu.
ISBN
9783662540305 (electronic book)
3662540304 (electronic book)
9783662540282
Published
Berlin, Germany : Springer, 2017.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-662-54030-5 doi
Call Number
TA409.2
Dewey Decimal Classification
658.5
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 9, 2017).
Series
Springer series in reliability engineering.
Available in Other Form
Print version: 9783662540282
From the Contents: Part I Introduction, Basic Concepts and Preliminaries
Overview
Advances in Data-Driven Remaining Useful Life Prognosis
Part II Remaining Useful Life Prognosis for Linear Stochastic Degrading Systems
Part III Remaining Useful Life Prognosis for Nonlinear Stochastic Degrading Systems
Part IV Applications of Prognostics in Decision Making
Variable Cost-based Maintenance Model from Prognostic Information.