A new method for processing ultrasonic gas flowmeter signal in wet gas
Abstract Gas velocity as an important characteristic parameter of wet gas has become a very active research issue in engineering field. Among many gas velocity measurement techniques, the ultrasonic flowmeter technique is more suitable for actual working conditions. However, the traditional signal p...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | IET Science, Measurement & Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/smt2.12001 |
| _version_ | 1828010635356536832 |
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| author | Mi Wang Dandan Zheng Jianqiang Mei Yang Mao Jiayu Hu |
| author_facet | Mi Wang Dandan Zheng Jianqiang Mei Yang Mao Jiayu Hu |
| author_sort | Mi Wang |
| collection | DOAJ |
| description | Abstract Gas velocity as an important characteristic parameter of wet gas has become a very active research issue in engineering field. Among many gas velocity measurement techniques, the ultrasonic flowmeter technique is more suitable for actual working conditions. However, the traditional signal processing methods of ultrasonic flowmeter are only proposed for single‐phase gas. In wet gas, the ultrasonic signals fluctuate greatly, are easily distorted and even lost, so the single‐phase ultrasonic signal processing methods are not applicable. Therefore, a new ultrasonic signal DBSCAN clustering synthetic peak method is proposed to solve the above problems. To verify the feasibility of this new proposed method, three real flow experiments are carried out on horizontal pipe at ambient temperature and pressure. Additionally, comparing the gas velocity results using ultrasonic signal double threshold method and ultrasonic empirical model method for single‐phase gas and the new proposed method for wet gas, it is shown that the measurement results using new proposed method accord with the theoretical law and can accurately measure the gas velocity. Furthermore, the three real flow experimental results show that the repeatability of gas velocity in wet gas by the new proposed method is mostly <0.5%. |
| first_indexed | 2024-04-10T09:03:04Z |
| format | Article |
| id | doaj.art-3554e65c7b2e4980be389783a95f88bb |
| institution | Directory Open Access Journal |
| issn | 1751-8822 1751-8830 |
| language | English |
| last_indexed | 2024-04-10T09:03:04Z |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Science, Measurement & Technology |
| spelling | doaj.art-3554e65c7b2e4980be389783a95f88bb2023-02-21T09:05:56ZengWileyIET Science, Measurement & Technology1751-88221751-88302021-01-0115121310.1049/smt2.12001A new method for processing ultrasonic gas flowmeter signal in wet gasMi Wang0Dandan Zheng1Jianqiang Mei2Yang Mao3Jiayu Hu4School of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electronic Engineering Tianjin University of Technology and Education Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaAbstract Gas velocity as an important characteristic parameter of wet gas has become a very active research issue in engineering field. Among many gas velocity measurement techniques, the ultrasonic flowmeter technique is more suitable for actual working conditions. However, the traditional signal processing methods of ultrasonic flowmeter are only proposed for single‐phase gas. In wet gas, the ultrasonic signals fluctuate greatly, are easily distorted and even lost, so the single‐phase ultrasonic signal processing methods are not applicable. Therefore, a new ultrasonic signal DBSCAN clustering synthetic peak method is proposed to solve the above problems. To verify the feasibility of this new proposed method, three real flow experiments are carried out on horizontal pipe at ambient temperature and pressure. Additionally, comparing the gas velocity results using ultrasonic signal double threshold method and ultrasonic empirical model method for single‐phase gas and the new proposed method for wet gas, it is shown that the measurement results using new proposed method accord with the theoretical law and can accurately measure the gas velocity. Furthermore, the three real flow experimental results show that the repeatability of gas velocity in wet gas by the new proposed method is mostly <0.5%.https://doi.org/10.1049/smt2.12001Sensing and detecting devicesMeasurement of acoustic variablesFlows in ducts, channels, and conduitsMeasurement instrumentation and techniques for fluid dynamicsSignal processing and detectionSensing devices and transducers |
| spellingShingle | Mi Wang Dandan Zheng Jianqiang Mei Yang Mao Jiayu Hu A new method for processing ultrasonic gas flowmeter signal in wet gas IET Science, Measurement & Technology Sensing and detecting devices Measurement of acoustic variables Flows in ducts, channels, and conduits Measurement instrumentation and techniques for fluid dynamics Signal processing and detection Sensing devices and transducers |
| title | A new method for processing ultrasonic gas flowmeter signal in wet gas |
| title_full | A new method for processing ultrasonic gas flowmeter signal in wet gas |
| title_fullStr | A new method for processing ultrasonic gas flowmeter signal in wet gas |
| title_full_unstemmed | A new method for processing ultrasonic gas flowmeter signal in wet gas |
| title_short | A new method for processing ultrasonic gas flowmeter signal in wet gas |
| title_sort | new method for processing ultrasonic gas flowmeter signal in wet gas |
| topic | Sensing and detecting devices Measurement of acoustic variables Flows in ducts, channels, and conduits Measurement instrumentation and techniques for fluid dynamics Signal processing and detection Sensing devices and transducers |
| url | https://doi.org/10.1049/smt2.12001 |
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