A Mixed Gas Composition Identification Method Based on Sample Augmentation-Reference-Cited by-同舟云学术

A Mixed Gas Composition Identification Method Based on Sample Augmentation

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Chen Yinsheng¹,Xia Wanyu²,Chen Deyun¹,Zhang Tianyu³,Song Kai⁴

Affiliation:

1. Harbin University of Science and Technology,Postdoctoral Research Station of Computer Science and Technology,Harbin,China

2. Harbin University of Science and Technology,National Experimental Teaching Demonstration Center of Measurement and Control Technology and Instrumentation,Harbin,China

3. Harbin University of Science and Technology,School of Instrumentation and Communication Engineering,Harbin,China

4. Harbin Institute of Technology,School of Electrical Engineering and Automation,Harbin,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9806445/9806446/09806499.pdf?arnumber=9806499

Reference10 articles.

1. Multi-mode operation of principal component analysis with k-nearest neighbor algorithm to monitor compressors for liquefied natural gas mixed refrigerant processes

2. Qualitative and quantitative analysis of terahertz gas-phase spectroscopy using independent component analysis

3. Classification and Quantification of Binary Mixtures of Gases/Odors Using Thick-Film Gas Sensor Array Responses

4. Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model

5. Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy

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