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Temperature Distribution Measurement Using the Gaussian Process Regression Method
Joint Authors
Mu, Huaiping
Li, Zhihong
Wang, Xueyao
Liu, Shi
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The temperature distribution in real-world industrial environments is often in a three-dimensional space, and developing a reliable method to predict such volumetric information is beneficial for the combustion diagnosis, the understandings of the complicated physical and chemical mechanisms behind the combustion process, the increase of the system efficiency, and the reduction of the pollutant emission.
In accordance with the machine learning theory, in this paper, a new methodology is proposed to predict three-dimensional temperature distribution from the limited number of the scattered measurement data.
The proposed prediction method includes two key phases.
In the first phase, traditional technologies are employed to measure the scattered temperature data in a large-scale three-dimensional area.
In the second phase, the Gaussian process regression method, with obvious superiorities, including satisfactory generalization ability, high robustness, and low computational complexity, is developed to predict three-dimensional temperature distributions.
Numerical simulations and experimental results from a real-world three-dimensional combustion process indicate that the proposed prediction method is effective and robust, holds a good adaptability to cope with complicated, nonlinear, and high-dimensional problems, and can accurately predict three-dimensional temperature distributions under a relatively low sampling ratio.
As a result, a practicable and effective method is introduced for three-dimensional temperature distribution.
American Psychological Association (APA)
Mu, Huaiping& Li, Zhihong& Wang, Xueyao& Liu, Shi. 2017. Temperature Distribution Measurement Using the Gaussian Process Regression Method. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189770
Modern Language Association (MLA)
Mu, Huaiping…[et al.]. Temperature Distribution Measurement Using the Gaussian Process Regression Method. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1189770
American Medical Association (AMA)
Mu, Huaiping& Li, Zhihong& Wang, Xueyao& Liu, Shi. Temperature Distribution Measurement Using the Gaussian Process Regression Method. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189770
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189770