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Introduction
Chenglong Lin currently works at the College of Economics and Management, Nanjing University of Technology. Lin does research in Manufacturing Engineering. Their current project is 'quality engineering'.
Current institution
Publications
Publications (12)
To solve the problem that the surrogate is usually limited to a single type, a multi-objective surrogate-based
optimization method based on general improvement decomposition strategy is proposed. In this method, the model
prediction value information is fully used to construct the general improvement multi-objective decomposition criterion
and the...
In practical engineering, there are many challenges when solving multi-objective optimization problems, such as the black box characteristics and time-consuming evaluation. The traditional evolutionary optimization method is usually limited due to the expensive cost and the difficulty in obtaining solutions. To modify the deficiency, a data-driven...
Hybrid reliability analysis with mixed random and interval uncertainties is a significant challenge in the reliability assessment of engineering structures. The situation will be more intractable when involving incomplete interval data. To obtain reliable estimates of the failure probability limits, an effective parameter estimation method, integra...
Recent advances in multivariate data fusion technology have promoted the applications of neural network-based models for remaining useful life (RUL) prediction. However, the interpretability of these models is usually poor since they are developed in a black-box manner. It is difficult to use them in engineering systems with multiple failure modes...
Support vector regression (SVR) has been widely used for reliability modeling and prediction in various engineering practices. In order to improve the accuracy and robustness of SVR models, this paper proposes a hierarchical Bayesian support vector regression (HBSVR) model, which can be used for dynamic high-dimensional reliability modeling with sm...
