Suk Joo Bae
Orcid: 0000-0002-9938-7406
According to our database1,
Suk Joo Bae
authored at least 35 papers
between 2004 and 2021.
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Bibliography
2021
Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages.
Reliab. Eng. Syst. Saf., 2021
Superposed Poisson process models with a modified bathtub intensity function for repairable systems.
IISE Trans., 2021
Two-level differential burn-in policy for spatially heterogeneous defect units in semiconductor manufacturing.
Comput. Ind. Eng., 2021
IEEE Access, 2021
2020
Statistical Models of Overdispersed Spatial Defects for Predicting the Yield of Integrated Circuits.
IEEE Trans. Reliab., 2020
Time-based replacement policies for a fault tolerant system subject to degradation and two types of shocks.
Qual. Reliab. Eng. Int., 2020
A multi-stage imperfect maintenance strategy for multi-state systems with variable user demands.
Comput. Ind. Eng., 2020
IEEE Access, 2020
2019
Reliability assessment of a continuous-state fuel cell stack system with multiple degrading components.
Reliab. Eng. Syst. Saf., 2019
Reliab. Eng. Syst. Saf., 2019
Condition monitoring of a steam turbine generator using wavelet spectrum based control chart.
Reliab. Eng. Syst. Saf., 2019
Reliability Prediction of Highly Scaled MOSFET Devices via Fractal Structure of Spatial Defects.
IEEE Access, 2019
2018
Bayesian Approach for Two-Phase Degradation Data Based on Change-Point Wiener Process With Measurement Errors.
IEEE Trans. Reliab., 2018
Bayesian analysis of two-phase degradation data based on change-point Wiener process.
Reliab. Eng. Syst. Saf., 2018
Appl. Intell., 2018
2016
A Spatio-Temporal Defect Process Model for Competing Progressive Breakdown Modes of Ultra-Thin Gate Oxides.
IEEE Trans. Reliab., 2016
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter.
IEEE Trans. Instrum. Meas., 2016
A Bayesian approach to degradation-based burn-in optimization for display products exhibiting two-phase degradation patterns.
Reliab. Eng. Syst. Saf., 2016
Bayesian degradation modeling for reliability prediction of organic light-emitting diodes.
J. Comput. Sci., 2016
2015
Reliability Estimation from Linear Degradation and Failure Time Data With Competing Risks Under a Step-Stress Accelerated Degradation Test.
IEEE Trans. Reliab., 2015
Reliab. Eng. Syst. Saf., 2015
2013
Reliab. Eng. Syst. Saf., 2013
A Constraint-based Maximum Entropy Sampling Method for Kriging Models in Fuel Cell Applications.
Qual. Reliab. Eng. Int., 2013
Change-point detection in failure intensity: A case study with repairable artillery systems.
Comput. Ind. Eng., 2013
2012
A Genetic-Based Iterative Quantile Regression Algorithm for Analyzing Fatigue Curves.
Qual. Reliab. Eng. Int., 2012
2011
Yield Prediction for Integrated Circuits Manufacturing Through Hierarchical Bayesian Modeling of Spatial Defects.
IEEE Trans. Reliab., 2011
Bi-objective scheduling for reentrant hybrid flow shop using Pareto genetic algorithm.
Comput. Ind. Eng., 2011
2010
Direct Prediction Methods on Lifetime Distribution of Organic Light-Emitting Diodes From Accelerated Degradation Tests.
IEEE Trans. Reliab., 2010
2009
Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries.
IEEE Trans. Syst. Man Cybern. Part C, 2009
2008
IEEE Trans. Reliab., 2008
2007
Generalized Linear Mixed Models for Reliability Analysis of Multi-Copy Repairable Systems.
IEEE Trans. Reliab., 2007
IEEE Trans. Reliab., 2007
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2004