Research on a Hybrid Intelligent Method for Natural Gas Energy Metering.

Dong, Jingya; Song, Bin; He, Fei; Xu, Yingying; Wang, Qiang; Li, Wanjun; Zhang, Peng

Dong, Jingya; Song, Bin; He, Fei; Xu, Yingying; Wang, Qiang; Li, Wanjun; Zhang, Peng.

Afiliación

Dong J; Natural Gas Research Institute, PetroChina & Southwest Oil and Gas Field Company, Chengdu 610213, China.
Song B; School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.
He F; Natural Gas Research Institute, PetroChina & Southwest Oil and Gas Field Company, Chengdu 610213, China.
Xu Y; Key Laboratory of Natural Gas Quality Control & Energy Metering Measurement for State Market Regulation, Chengdu 610095, China.
Wang Q; Natural Gas Research Institute, PetroChina & Southwest Oil and Gas Field Company, Chengdu 610213, China.
Li W; Natural Gas Research Institute, PetroChina & Southwest Oil and Gas Field Company, Chengdu 610213, China.
Zhang P; Natural Gas Research Institute, PetroChina & Southwest Oil and Gas Field Company, Chengdu 610213, China.

Sensors (Basel) ; 23(14)2023 Jul 19.

Article en En | MEDLINE | ID: mdl-37514820

Palabras clave

accuracy; artificial neural network; energy metering; natural gas; ultrasonic

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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