Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering)
Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
ISBN 10: 3662571730 ISBN 13: 9783662571736
Published by Springer, 2018
New
Soft cover
From
Best Price, Torrance, CA, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since August 30, 2024
This specific item is no longer available.
About this Item
Description:
SUPER FAST SHIPPING. Seller Inventory # 9783662571736
Synopsis:
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.
From the Back Cover:
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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Data-Driven Remaining Useful Life Prognosis ...
Publisher: Springer
Publication Date: 2018
Binding: Soft cover
Condition: New
Top Search Results from the AbeBooks Marketplace
Seller Image
Data-Driven Remaining Useful Life Prognosis Techniques
Published by
Springer Berlin Heidelberg, 2018
ISBN 10: 3662571730
ISBN 13: 9783662571736
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the basic data-driven remaining useful life prognosis theory systematically and in detailIncludes a wealth of degradation monitoring experiment data, practical prognosis methods, and various decision-making applications that employ progn. Seller Inventory # 449139514
Buy New
US$ 194.54
Shipping:
US$ 56.94
From Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783662571736_new
Buy New
US$ 195.38
Shipping:
US$ 15.77
From United Kingdom to U.S.A.
Quantity: Over 20 available
Data-Driven Remaining Useful Life Prognosis Techniques | Stochastic Models, Methods and Applications
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Data-Driven Remaining Useful Life Prognosis Techniques | Stochastic Models, Methods and Applications | Xiao-Sheng Si (u. a.) | Taschenbuch | xvii | Englisch | 2018 | Springer-Verlag GmbH | EAN 9783662571736 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 114239454
Stock Image
Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020317698
Seller Image
Data-Driven Remaining Useful Life Prognosis Techniques
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2018, 2018
ISBN 10: 3662571730
ISBN 13: 9783662571736
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. Seller Inventory # 9783662571736
Seller Image
Data-Driven Remaining Useful Life Prognosis Techniques : Stochastic Models, Methods and Applications
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2018
ISBN 10: 3662571730
ISBN 13: 9783662571736
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783662571736
Seller Image
Data-Driven Remaining Useful Life Prognosis Techniques
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2018, 2018
ISBN 10: 3662571730
ISBN 13: 9783662571736
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 448 pp. Englisch. Seller Inventory # 9783662571736
Stock Image
Data-Driven Remaining Useful Life Prognosis Techniques : Stochastic Models, Methods and Applications
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26376473393
Stock Image
Data-Driven Remaining Useful Life Prognosis Techniques : Stochastic Models, Methods and Applications
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 369572078
Buy New
US$ 276.82
Shipping:
US$ 8.55
From United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
Data-Driven Remaining Useful Life Prognosis Techniques : Stochastic Models, Methods and Applications
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18376473403