A New Reconstruction Method for Measurement Data With Multiple Outliers-Reference-Cited by-同舟云学术

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A New Reconstruction Method for Measurement Data With Multiple Outliers

Published:2022 Issue: Volume:71 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Gu Tianqi¹^ORCID,Luo Zude¹^ORCID,Guo Tong²^ORCID,Luo Tianzhi³^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

2. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China

3. Department of Modern Mechanics, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Anhui Province Science and Technology Major Project

Natural Science Foundation of Fujian Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09839438.pdf?arnumber=9839438

Reference51 articles.

1. A meshless method based on the moving least squares (MLS) approximation for the numerical solution of two-dimensional nonlinear integral equations of the second kind on non-rectangular domains

2. Progress in Outlier Detection Techniques: A Survey

3. Influence sets based on reverse nearest neighbor queries

4. There and back again: Outlier detection between statistical reasoning and data mining algorithms

5. Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

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