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

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

Hardcover

Series: Springer Reliability Engineering

Business GeneralTechnology & EngineeringProbability & Statistics

ISBN10: 3662540282
ISBN13: 9783662540282
Publisher: Springer
Published: Feb 9 2017
Pages: 430
Weight: 1.77
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English
Part I Introduction, Basic Concepts and Preliminaries.- Overview.- Advances in Data-Driven Remaining Useful Life Prognosis.- Model Determination for Lifetime Prognosis.- Part II Remaining Useful Life Prognosis for Linear Stochastic Degrading Systems.- Adaptive Remaining Useful Life Prediction Method.- Exact and Closed-Form Solution to Remaining Useful Life Prediction.- Remaining Useful Life Prediction With Three-Level Variability.- Part III Remaining Useful Life Prognosis for Nonlinear Stochastic Degrading Systems.- Nonlinear Degradation Modeling and Remaining Useful Life Prediction Method.- Hidden and Nonlinear Degradation Modeling and Online Remaining Useful Life Prediction Method.- Remaining Useful Life Prediction Method With State Switches.- Remaining Useful Life Prediction for Degrading Systems with Imperfect Maintenance.- Part IV Applications of Prognostics in Decision Making.- Variable Cost-based Maintenance Model from Prognostic Information.- Forecasting Spare Parts Demand under Prognostic Information.- Variable Cost-Based Maintenance and Inventory Model from Prognostic Information.- Prognostic-information-Based Order-Replacement Policy for Degrading Systems.

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