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Predictive maintenance of complex system with multi-level reliability structure
This paper presents a PdM scheme for complex systems by employing discrete time Markov chain models for modelling multiple degradation processes of components and a Bayesian network model for predicting system reliability.
A nonparametric Bayesian network approach to assessing system reliability at early design stages
System Reliability Assessment Through Bayesian Network Modeling
Evaluating reliability of complex systems for Predictive maintenance
A PdM scheme is developed by employing a Discrete Time Markov Chain (DTMC) for forecasting the health of monitored components and a Bayesian Network for modeling the multi-component system reliability.
Improving early stage system design under the uncertainty in reliability-wise structure
A Nonparametric Bayesian Network approach is proposed to tackle challenges at early design stage of system reliability improvement, which can partially quantify the reliability function of the system under design and propose design change recommendations in order to achieve the targeted system reliability level.
Visualizing Alzheimer's disease progression in low dimensional manifolds
Civil Liability for Price-fixing:Focusing on Indirect Purchasers' Claim and Direct Purchasers' Passing-On Defence
- Dongjin Lee
The Constituted Acceptance of Succession of Article 1026, section 1 of Civil Code —Supreme Court Decision on Dec. 29. 2016, Case no. 2013Da73520—
- Dongjin Lee
- 31 March 2017