Data-Driven Remaining Useful Life Prognosis Techniques (Record no. 80022)
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000 -LEADER | |
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fixed length control field | 03939nam a22005895i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-662-54030-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221746.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170201s2017 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783662540305 |
-- | 978-3-662-54030-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621 |
100 1# - AUTHOR NAME | |
Author | Si, Xiao-Sheng. |
245 10 - TITLE STATEMENT | |
Title | Data-Driven Remaining Useful Life Prognosis Techniques |
Sub Title | Stochastic Models, Methods and Applications / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVII, 430 p. 104 illus., 84 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Springer Series in Reliability Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Zhang, Zheng-Xin. |
700 1# - AUTHOR 2 | |
Author 2 | Hu, Chang-Hua. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-662-54030-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg : |
-- | Imprint: Springer, |
-- | 2017. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Security systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probabilities. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operations research. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics . |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Security Science and Technology. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probability Theory. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operations Research and Decision Theory. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2196-999X |
912 ## - | |
-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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