Items related to Data-Driven Remaining Useful Life Prognosis Techniques:...

Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering) - Softcover

 
9783662571736: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering)

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.

"synopsis" may belong to another edition of this title.

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.

  • PublisherSpringer
  • Publication date2018
  • ISBN 10 3662571730
  • ISBN 13 9783662571736
  • BindingPaperback
  • LanguageEnglish
  • Number of pages447

Buy New

View this item

FREE shipping within United Kingdom

Destination, rates & speeds

Other Popular Editions of the Same Title

9783662540282: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering)

Featured Edition

ISBN 10:  3662540282 ISBN 13:  9783662540282
Publisher: Springer, 2017
Hardcover

Search results for Data-Driven Remaining Useful Life Prognosis Techniques:...

Stock Image

Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Softcover

Seller: Ria Christie Collections, Uxbridge, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. In. Seller Inventory # ria9783662571736_new

Contact seller

Buy New

£ 149.62
Convert currency
Shipping: FREE
Within United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Xiao-Sheng Si|Zheng-Xin Zhang|Chang-Hua Hu
Published by Springer Berlin Heidelberg, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Kartoniert / Broschiert
Print on Demand

Seller: moluna, Greven, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Kartoniert / Broschiert. 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

Contact seller

Buy New

£ 141.10
Convert currency
Shipping: £ 20.90
From Germany to United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Xiao-Sheng Si
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Taschenbuch
Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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

Contact seller

Buy New

£ 165.89
Convert currency
Shipping: £ 9.20
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 2 available

Add to basket

Seller Image

Xiao-Sheng Si
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Taschenbuch

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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

Contact seller

Buy New

£ 165.89
Convert currency
Shipping: £ 11.70
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Xiao-Sheng Si
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Taschenbuch

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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

Contact seller

Buy New

£ 165.89
Convert currency
Shipping: £ 29.27
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Softcover

Seller: Lucky's Textbooks, Dallas, TX, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # ABLIING23Mar3113020317698

Contact seller

Buy New

£ 161.07
Convert currency
Shipping: £ 55.85
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Stock Image

Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Softcover

Seller: Books Puddle, New York, NY, U.S.A.

Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # 26376473393

Contact seller

Buy New

£ 214.82
Convert currency
Shipping: £ 6.70
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: 4 available

Add to basket

Stock Image

Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Softcover
Print on Demand

Seller: Majestic Books, Hounslow, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Print on Demand. Seller Inventory # 369572078

Contact seller

Buy New

£ 225.94
Convert currency
Shipping: £ 3.35
Within United Kingdom
Destination, rates & speeds

Quantity: 4 available

Add to basket

Stock Image

Si, Xiao-Sheng, Zhang, Zheng-Xin, Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Paperback

Seller: Mispah books, Redhill, SURRE, United Kingdom

Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

Paperback. Condition: New. New. book. Seller Inventory # ERICA79636625717306

Contact seller

Buy New

£ 223
Convert currency
Shipping: £ 8
Within United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Si, Xiao-Sheng; Zhang, Zheng-Xin; Hu, Chang-Hua
Published by Springer, 2018
ISBN 10: 3662571730 ISBN 13: 9783662571736
New Softcover
Print on Demand

Seller: Biblios, Frankfurt am main, HESSE, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. PRINT ON DEMAND. Seller Inventory # 18376473403

Contact seller

Buy New

£ 234.79
Convert currency
Shipping: £ 6.65
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 4 available

Add to basket