An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference-Reference-Cited by-同舟云学术

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An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference

Published:2024-08-01 Issue:15 Volume:24 Page:24249-24262
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chu Ning¹^ORCID,Yan Xu²,Zhong Yao³,Wang Li²^ORCID,Yu Liang⁴^ORCID,Cai Caifang¹,Mohammad-Djafari Ali¹

Affiliation:

1. Zhejiang Shangfeng Special Blower Company Ltd., Shaoxing, China

2. School of Mathematics and Statistics, Central South University, Changsha, China

3. School of Technical, University of Munich, München, Germany

4. School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China

Funder

Zhejiang Province Special Support Funding

National Natural Science Foundation of China

Graduate Innovation Project of Central South University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10559789.pdf?arnumber=10559789

Reference44 articles.

1. NSCT-Based Infrared Image Enhancement Method for Rotating Machinery Fault Diagnosis

2. Infrared Temperature Measurement Sensors of Overhead Power Conductors

3. Association between days open and milk spectral data in dairy cows

4. Automated people-counting by using low-resolution infrared and visual cameras

5. Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

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