학술논문

A PoF Based Reliability Assessment Framework for Complex Systems
Document Type
Conference
Source
2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS) Reliability, Maintainability, and Safety (ICRMS), 2018 12th International Conference on. :413-418 Oct, 2018
Subject
Computing and Processing
Engineering Profession
Reliability
Failure analysis
Bayes methods
Data models
Uncertainty
Probabilistic logic
Analytical models
PoF
Complex Systems
Bayesian Inference
Language
ISSN
2575-2642
Abstract
Failure mechanisms are the root cause of product failure, and describes the internal physical and chemical process during a products' lifetime, reflecting the relationship between internal variables and product life under specific circumstances. By modelling the failure mechanism of parts or components, designers can quantify the reliability of device-level and predict remaining lifespan without requiring abundant history failure data. This is significant in developing the failure mechanism modelling method for the use in system failures. Based on the physics of failure, this study proposes a system level reliability evaluation framework which considers the physics of failure mechanisms, and describes an evaluation method based on Bayesian inference, which was tested using typical threshold dynamic parameters of system failure.