Ning Zhao , Wendi Ma , Xiayan Jiang , Qing Wang , Xinlong Li , Lide Fang , Fan Wang
{"title":"水平环形流动中基于流动噪声解耦的界面波参数测量","authors":"Ning Zhao , Wendi Ma , Xiayan Jiang , Qing Wang , Xinlong Li , Lide Fang , Fan Wang","doi":"10.1016/j.measurement.2025.117582","DOIUrl":null,"url":null,"abstract":"<div><div>Annular flow is a typical gas–liquid two-phase flow pattern, where interface behavior characteristics significantly affect the stable operation of devices. Interfacial wave parameters reflect the spatial behavior of interfacial wave fluctuations, making them essential for studying annular flow mechanisms. This study designs the measurement method for interfacial wave parameters depending on acoustic emission technique. The interfacial wave parameters of a horizontal pipe’s annular flow are measured experimentally under various flow conditions. The noise signals of annular flow with various flow conditions are measured, and the Whale Optimization Algorithm for Variational Mode Decomposition is used to evaluate the acoustic emission signals. By analyzing the initial signals’ energy and entropy, the decoupling of annular flow noise is achieved. The disturbance wave frequency and disturbance wave velocity are determined by analyzing the flow noise signals in the time domain. Reynolds number and intrinsic mode component energy are extracted, then the CatBoost algorithm is used to create a prediction model for the frequency and velocity of disturbance waves in annular flow. The results show that the MAPE of the disturbance wave frequency prediction model is 9.84 %, with 85.00 % of the experimental points having a relative error within ± 15 % band. The MAPE of the disturbance wave velocity prediction model is 4.31 %, with 95.00 % of the experimental points having a relative error within ± 15 % band.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117582"},"PeriodicalIF":5.2000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interfacial wave parameters measurement based on flow noise decoupling in horizontal annular flow\",\"authors\":\"Ning Zhao , Wendi Ma , Xiayan Jiang , Qing Wang , Xinlong Li , Lide Fang , Fan Wang\",\"doi\":\"10.1016/j.measurement.2025.117582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Annular flow is a typical gas–liquid two-phase flow pattern, where interface behavior characteristics significantly affect the stable operation of devices. Interfacial wave parameters reflect the spatial behavior of interfacial wave fluctuations, making them essential for studying annular flow mechanisms. This study designs the measurement method for interfacial wave parameters depending on acoustic emission technique. The interfacial wave parameters of a horizontal pipe’s annular flow are measured experimentally under various flow conditions. The noise signals of annular flow with various flow conditions are measured, and the Whale Optimization Algorithm for Variational Mode Decomposition is used to evaluate the acoustic emission signals. By analyzing the initial signals’ energy and entropy, the decoupling of annular flow noise is achieved. The disturbance wave frequency and disturbance wave velocity are determined by analyzing the flow noise signals in the time domain. Reynolds number and intrinsic mode component energy are extracted, then the CatBoost algorithm is used to create a prediction model for the frequency and velocity of disturbance waves in annular flow. The results show that the MAPE of the disturbance wave frequency prediction model is 9.84 %, with 85.00 % of the experimental points having a relative error within ± 15 % band. The MAPE of the disturbance wave velocity prediction model is 4.31 %, with 95.00 % of the experimental points having a relative error within ± 15 % band.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"253 \",\"pages\":\"Article 117582\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125009418\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125009418","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Interfacial wave parameters measurement based on flow noise decoupling in horizontal annular flow
Annular flow is a typical gas–liquid two-phase flow pattern, where interface behavior characteristics significantly affect the stable operation of devices. Interfacial wave parameters reflect the spatial behavior of interfacial wave fluctuations, making them essential for studying annular flow mechanisms. This study designs the measurement method for interfacial wave parameters depending on acoustic emission technique. The interfacial wave parameters of a horizontal pipe’s annular flow are measured experimentally under various flow conditions. The noise signals of annular flow with various flow conditions are measured, and the Whale Optimization Algorithm for Variational Mode Decomposition is used to evaluate the acoustic emission signals. By analyzing the initial signals’ energy and entropy, the decoupling of annular flow noise is achieved. The disturbance wave frequency and disturbance wave velocity are determined by analyzing the flow noise signals in the time domain. Reynolds number and intrinsic mode component energy are extracted, then the CatBoost algorithm is used to create a prediction model for the frequency and velocity of disturbance waves in annular flow. The results show that the MAPE of the disturbance wave frequency prediction model is 9.84 %, with 85.00 % of the experimental points having a relative error within ± 15 % band. The MAPE of the disturbance wave velocity prediction model is 4.31 %, with 95.00 % of the experimental points having a relative error within ± 15 % band.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.