Classification of two-phase flow patterns by ultrasonic sensing

Devesh K. Jha, Asok Ray, Kushal Mukherjee, Subhadeep Chakraborty

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper presents a methodology for classification of two-phase flow patterns in fluid systems, which takes the measurements of an in situ ultrasonic sensor as inputs. In contrast to the common practice of having an array of ultrasonic detectors, the underlying algorithm requires only a single sensor hardware in combination with an integrated software of signal conditioning, feature extraction, and pattern classification. The proposed method is noninvasive and can be implemented in a variety of industrial applications (e.g., petrochemical processes and nuclear power plants). This concept of flow pattern classification is experimentally validated on a laboratory test apparatus.

Original languageEnglish (US)
Article number24503
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume135
Issue number2
DOIs
StatePublished - Mar 20 2013

Fingerprint

two phase flow
Two phase flow
Flow patterns
Pattern recognition
flow distribution
ultrasonics
Ultrasonics
Ultrasonic sensors
Petrochemicals
Computer hardware
Nuclear power plants
Industrial applications
Feature extraction
Signal processing
nuclear power plants
sensors
conditioning
Detectors
pattern recognition
Fluids

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

Cite this

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Classification of two-phase flow patterns by ultrasonic sensing. / Jha, Devesh K.; Ray, Asok; Mukherjee, Kushal; Chakraborty, Subhadeep.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 135, No. 2, 24503, 20.03.2013.

Research output: Contribution to journalArticle

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