Data Driven Remaining Useful Life Prognosis Techniques Stochastic Models Methods and Applications 1st edition by Chang Hua Hu, Xiao Sheng Si, Zheng Xin Zhang 3662540282 9783662540282

Data Driven Remaining Useful Life Prognosis Techniques Stochastic Models Methods and Applications 1st edition by Chang-Hua Hu, Xiao-Sheng Si, Zheng-Xin Zhang – Ebook PDF Instant Download/DeliveryISBN:  3662540282, 9783662540282 

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ISBN-10 :  3662540282 

ISBN-13 :  9783662540282

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

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.

 

Data Driven Remaining Useful Life Prognosis Techniques Stochastic Models Methods and Applications 1st Table of contents:

Part I Introduction Degradation Data Acquisition and Evaluation

1 Advances in DataDriven RUL PrognosisTechniques

2 Planning Repeated Degradation Testing for Degrading Products

3 Specifying Measurement Errors for Required Lifetime Estimation Performance

Part II Prognostic Techniques for Linear Degrading Systems

4 An Adaptive Remaining Useful LifeEstimation Approach with a Recursive Filter

5 An Exact and ClosedForm Solution to Degradation PathDependent RUL Estimation

6 Estimating RUL with ThreeSourceVariability in Degradation Modeling

7 RUL Estimation Based on a Nonlinear Diffusion Degradation Process

8 Prognostics for Age and StateDependent Nonlinear Degrading Systems

9 Adaptive Prognostic Approach via Nonlinear Degradation Modeling

10 Prognostics for Hidden and AgeDependent Nonlinear Degrading Systems

11 Prognostics for Nonlinear Degrading Systems with ThreeSource Variability

12 RSL Prediction Approach for Systemswith Operation State Switches

Part IV Applications of Prognostic Information

13 Reliability Estimation Approach for PMS

14 A RealTime Variable CostBased Maintenance Model

Part III Prognostic Techniques for Nonlinear Degrading Systems

15 An Adaptive Spare Parts Demand Forecasting Method Based on Degradation Modeling

16 Variable CostBased Maintenance and Inventory Model

 

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Tags: Data Driven, Remaining, Useful Life, Prognosis Techniques, Models Methods, Applications, Chang Hua Hu, Xiao Sheng Si, Zheng Xin Zhang