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Application of soft computing techniques to multiphase flow measurement: A review

  • Yong Yan*
  • , Lijuan Wang
  • , Tao Wang
  • , Xue Wang
  • , Yonghui Hu
  • , Quansheng Duan
  • *此作品的通讯作者
  • North China Electric Power University
  • University of Kent
  • KROHNE Messtechnik GmbH

科研成果: 期刊稿件文章同行评审

摘要

After extensive research and development over the past three decades, a range of techniques have been proposed and developed for online continuous measurement of multiphase flow. In recent years, with the rapid development of computer hardware and machine learning, soft computing techniques have been applied in many engineering disciplines, including indirect measurement of multiphase flow. This paper presents a comprehensive review of the soft computing techniques for multiphase flow metering with a particular focus on the measurement of individual phase flowrates and phase fractions. The paper describes the sensors used and the working principle, modelling and example applications of various soft computing techniques in addition to their merits and limitations. Trends and future developments of soft computing techniques in the field of multiphase flow measurement are also discussed.

源语言英语
页(从-至)30-43
页数14
期刊Flow Measurement and Instrumentation
60
DOI
出版状态已出版 - 4月 2018
已对外发布

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