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 language | English (US) |
|---|---|
| Article number | 24503 |
| Journal | Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME |
| Volume | 135 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 20 2013 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Information Systems
- Instrumentation
- Mechanical Engineering
- Computer Science Applications
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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 journal › Article
TY - JOUR
T1 - Classification of two-phase flow patterns by ultrasonic sensing
AU - Jha, Devesh K.
AU - Ray, Asok
AU - Mukherjee, Kushal
AU - Chakraborty, Subhadeep
PY - 2013/3/20
Y1 - 2013/3/20
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84875009169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875009169&partnerID=8YFLogxK
U2 - 10.1115/1.4007555
DO - 10.1115/1.4007555
M3 - Article
AN - SCOPUS:84875009169
VL - 135
JO - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
JF - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
SN - 0022-0434
IS - 2
M1 - 24503
ER -