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Data-Driven Remaining Useful Life Prognosis Techniques - Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu

Data-Driven Remaining Useful Life Prognosis Techniques

Stochastic Models, Methods and Applications
Buch | Softcover
XVII, 430 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer Berlin (Verlag)
978-3-662-57173-6 (ISBN)
CHF 249,95 inkl. MwSt
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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 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.

Erscheinungsdatum
Reihe/Serie Springer Series in Reliability Engineering
Zusatzinfo XVII, 430 p. 104 illus., 84 illus. in color.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 682 g
Themenwelt Naturwissenschaften Physik / Astronomie
Technik Bauwesen
Technik Maschinenbau
Schlagworte Brownian motion • Degradation process • expectation maximization • Linear stochastic degrading systems • Markov process • Nonlinear stochastic degrading systems • Prognostics and health management • Quality Control, Reliability, Safety and Risk • Remaining useful life prognosis • Wiener process
ISBN-10 3-662-57173-0 / 3662571730
ISBN-13 978-3-662-57173-6 / 9783662571736
Zustand Neuware
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