E-Bayesian Estimation Method and its Applications in Reliability Engineering

Ming Han

doi:10.4028/www.scientific.net/AMR.199-200.308

Paper Titles

Kinetics Performance of a Linkage with Dynamic State Balance and Small Fluctuation Features
p.286

Research on Planet Crumb-Free CNC Pipe-Cutting Machine Mechanical Parameters
p.293

Research on the Construction Method of Intermittent Transmission Function and its Application
p.298

Analysis of Isometric Modification of Spur Bevel Gear
p.303

E-Bayesian Estimation Method and its Applications in Reliability Engineering
p.308

Performance Analysis of Auto-Control Adjustable Speed Asynchronous Disk Magnetic Coupling
p.313

Research on Automatic Mechanical Transmission Shift Schedule
p.318

Software Development of Steady Numerical Computational Method of Matching between Hydrodynamic Torque Converter and Engine
p.323

Study on Minimum Teeth without Undercutting of Standard Involute Gears
p.329

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 199-200E-Bayesian Estimation Method and its Applications...

E-Bayesian Estimation Method and its Applications in Reliability Engineering

Abstract:

Evaluation method of reliability of industrial products needs to be improved effectively with the advance of science and technology. This paper introduces a new method, named E-Bayesian estimation method, to estimate failure probability in reliability engineering. The definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation of the failure probability were provided, and properties of the E-Bayesian estimation, i.e. relations between E-Bayesian estimation and hierarchical Bayesian estimation, are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.

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Periodical:

Advanced Materials Research (Volumes 199-200)

Pages:

308-312

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.199-200.308

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Online since:

February 2011

Authors:

Ming Han

Keywords:

E-Bayesian Estimation, Failure Probability, Hierarchical Bayesian Estimation, Hydraulic Pump, Reliability Engineering

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