A spatiotemporal prediction approach for a 3D thermal field from sensor networks-Reference-Cited by-同舟云学术

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A spatiotemporal prediction approach for a 3D thermal field from sensor networks

Published:2021-01-22 Issue: Volume: Page:1-41
ISSN:0022-4065
Container-title:Journal of Quality Technology
language:en
Short-container-title:Journal of Quality Technology

Author:

Wang Di¹^ORCID,Liu Kaibo²^ORCID,Zhang Xi³^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin

3. Department of Industrial Engineering and Management, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/00224065.2020.1851618

Reference36 articles.

1. Real-time estimation of zero crossings of sampled signals for timing using cubic spline interpolation

2. Composite Gaussian process models for emulating expensive functions

3. Channel estimation by modulated Lagrange interpolation

4. Fixed rank kriging for very large spatial data sets

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3. Modeling and monitoring of a multivariate spatio-temporal network system;IISE Transactions;2021-11-30

4. Research on Distribution Field Reconstruction Technology Based on Markov Random Field-Kriging Model;2021 3rd International Conference on System Reliability and Safety Engineering (SRSE);2021-11

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