4 Papers
Siyu Chen is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Surrogate model & Computer science. The author has an hindex of 3, co-authored 3 publications.
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Papers
A novel learning function based on Kriging for reliability analysis
TL;DR: A new learning function called Folded Normal based Expected Improvement Function (FNEIF) is proposed to efficiently estimate the failure probability of the surrogate model for reliability analysis.
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An adaptive multiple-Kriging-surrogate method for time-dependent reliability analysis
TL;DR: The proposed adaptive multiple-Kriging-surrogate method can avoid man-made subjectivity for regression trend in general Kriging surrogate method and better accuracy and efficiency will be obtained by the proposed multiple surrogates than just using a fixed regression model for some engineering applications.
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Interface Design of Head-Worn Display Application on Condition Monitoring in Aviation
TL;DR: In this article , the authors examined the effects of several important interface design characteristics (i.e., the distance between calibration lines and the layouts of vertical and horizontal scale belts) on task performance and user preference between different conditions of display, i.e. head-worn displays (HWDs) or head-up display (HUD).
A reliability analysis method based on analytical expressions of the first four moments of the surrogate model of the performance function
TL;DR: By use of the proposed procedure, the failure probability of structure can be estimated by an analytical expression without introducing additional errors and only the training points are needed to gain the analytical expressions of the first four moments.