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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Metho

Description: Data-Driven Remaining Useful Life Prognosis Techniques by Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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. Publisher 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. Details ISBN 3662540282 ISBN-13 9783662540282 Title Data-Driven Remaining Useful Life Prognosis Techniques Author Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu Format Hardcover Year 2017 Pages 430 Edition 1st Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:140235455; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 241.6 USD

Location: Fairfield, Ohio

End Time: 2024-11-26T03:44:12.000Z

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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Metho

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783662540282

Type: NA

Publication Name: NA

Book Title: Data-Driven Remaining Useful Life Prognosis Techniques : Stochastic Models, Methods and Applications

Number of Pages: Xvii, 430 Pages

Language: English

Publisher: Springer Berlin / Heidelberg

Publication Year: 2017

Topic: Probability & Statistics / General, Operations Research, Economics / General, Physics / General

Illustrator: Yes

Genre: Mathematics, Science, Business & Economics

Item Weight: 279.4 Oz

Author: Zheng-Xin Zhang, Xiao-Sheng Si, Chang-Hua Hu

Item Length: 9.3 in

Book Series: Springer Series in Reliability Engineering Ser.

Item Width: 6.1 in

Format: Hardcover

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