Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications
Author:   Xiao-Sheng Si ,  Zheng-Xin Zhang ,  Chang-Hua Hu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1st ed. 2017
ISBN:  

9783662540282


Pages:   430
Publication Date:   09 February 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications


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Author:   Xiao-Sheng Si ,  Zheng-Xin Zhang ,  Chang-Hua Hu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   7.922kg
ISBN:  

9783662540282


ISBN 10:   3662540282
Pages:   430
Publication Date:   09 February 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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