Data Driven Remaining Useful Life Prognosis Techniques Stochastic Models Methods and Applications 1st Edition by Xiao Sheng Si, Zheng Xin Zhang, Chang Hua Hu ISBN 3662540282 978-3662540282

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Product details:

ISBN 10: 3662540282

ISBN 13:  978-3662540282

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

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.

Table of contents: 

1. Advances in Data-Driven RUL Prognosis Techniques

2. Planning Repeated Degradation Testing for Degrading Products

3. Specifying Measurement Errors for Required Lifetime Estimation Performance

4. An Adaptive Remaining Useful Life Estimation Approach with a Recursive Filter

5. An Exact and Closed-Form Solution to Degradation Path-Dependent RUL Estimation

6. Estimating RUL with Three-Source Variability in Degradation Modeling

7. RUL Estimation Based on a Nonlinear Diffusion Degradation Process

8. Prognostics for Age- and State-Dependent Nonlinear Degrading Systems

9. Adaptive Prognostic Approach via Nonlinear Degradation Modeling

10. Prognostics for Hidden and Age-Dependent Nonlinear Degrading Systems

11. Prognostics for Nonlinear Degrading Systems with Three-Source Variability

12. RSL Prediction Approach for Systems with Operation State Switches

13. Reliability Estimation Approach for PMS

14. A Real-Time Variable Cost-Based Maintenance Model

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

16. Variable Cost-Based Maintenance and Inventory Model

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