Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation

Peng, Fulin; Yu, Handi; Tao, Jun; Su, Yangfeng; Zhou, Dian; Zeng, Xuan; Li, Xin

doi:10.1109/tcad.2020.2979804

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Denoising and Fitting Methodsmentioning

confidence: 99%

“…In the actual situation, the collected plane point cloud will inevitably produce noise due to factors such as equipment and environment differences. How to design a criterion to identify the noise in the plane point cloud is the key process to improve the robustness of the algorithm (Peng et al, 2020). The flat point cloud is assumed to be a set p, assuming that there is a threshold t, the set p can be split into two subsets: the valid point set p 1 and the noise point set p 2 .…”

Section: Improved Cook's Distance(icook) Modelmentioning

confidence: 99%

See 1 more Smart Citation

Robust denoising-oriented point cloud plane fitting method based on a combined model of improved Cook’s distance and WTLS

Shu²,

Zhou³

et al. 2022

JIMSE

View full text Add to dashboard Cite

PurposeIn order to improve the robustness to noise in point cloud plane fitting, a combined model of improved Cook’s distance (ICOOK) and WTLS is proposed by setting a modified Cook’s increment, which could help adaptively remove the noise points that exceeds the threshold.Design/methodology/approachThis paper proposes a robust point cloud plane fitting method based on ICOOK and WTLS to improve the robustness to noise in point cloud fitting. The ICOOK to denoise the initial point cloud was set and verified with experiments. In the meanwhile, weighted total least squares method (WTLS) was adopted to perform plane fitting on the denoised point cloud set to obtain the plane equation.Findings(a) A threshold-adaptive Cook’s distance method is designed, which can automatically match a suitable threshold. (b) The ICOOK is fused with the WTLS method, and the simulation experiments and the actual fitting of the surface of the DD motor are carried out to verify the actual application. (c) The results shows that the plane fitting accuracy and unit weight variance of the algorithm in this paper are substantially enhanced.Originality/valueThe existing point cloud plane fitting methods are not robust to noise, so a robust point cloud plane fitting method based on a combined model of ICOOK and WTLS is proposed. The existing point cloud plane fitting methods are not robust to noise, so a robust point cloud plane fitting method based on a combined model of ICOOK and WTLS is proposed.

show abstract

Section: Denoising and Fitting Methodsmentioning

confidence: 99%

Section: Improved Cook's Distance(icook) Modelmentioning

confidence: 99%