SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION

C. E.A. Finney; K. Nguyen; C. S. Daw; J. S. Halow

doi:10.1115/IMECE1998-0757

SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION

C. E.A. Finney, K. Nguyen, C. S. Daw, J. S. Halow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

We propose that data-symbolization methods derived from nonlinear dynamics and chaos theory can be useful for characterizing and monitoring patterns in fluidized-bed measurement signals. Data symbolization involves the discretization of a measurement signal into a limited set of values. In this discretized form, the measurements can be processed very efficiently to detect dynamic patterns that signify various types of physical phenomena, including bubbling, slugging, and transitions between fluidization states. Besides computational efficiency, symbolic methods are also robust when noise is present. Using various types of measurements from experimental beds, we illustrate specific examples of how symbolization can be applied to fluidization diagnostics. We also suggest directions for future research.

Original language	English
Title of host publication	Heat Transfer
Subtitle of host publication	Volume 5 � Numerical and Experimental Methods in Heat Transfer
Publisher	American Society of Mechanical Engineers (ASME)
Pages	405-411
Number of pages	7
ISBN (Electronic)	9780791826744
DOIs	https://doi.org/10.1115/IMECE1998-0757
State	Published - 1998
Externally published	Yes
Event	ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998 - Anaheim, United States Duration: Nov 15 1998 → Nov 20 1998

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	1998-Q

Conference

Conference	ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998
Country/Territory	United States
City	Anaheim
Period	11/15/98 → 11/20/98

Bibliographical note

Publisher Copyright:
© 1998 American Society of Mechanical Engineers (ASME). All rights reserved.

Access to Document

10.1115/IMECE1998-0757

Cite this

Finney, C. E. A., Nguyen, K., Daw, C. S., & Halow, J. S. (1998). SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION. In Heat Transfer: Volume 5 � Numerical and Experimental Methods in Heat Transfer (pp. 405-411). (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 1998-Q). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE1998-0757

@inproceedings{eb6cc0382ad7456db0e7f48d1c8064b5,

title = "SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION",

abstract = "We propose that data-symbolization methods derived from nonlinear dynamics and chaos theory can be useful for characterizing and monitoring patterns in fluidized-bed measurement signals. Data symbolization involves the discretization of a measurement signal into a limited set of values. In this discretized form, the measurements can be processed very efficiently to detect dynamic patterns that signify various types of physical phenomena, including bubbling, slugging, and transitions between fluidization states. Besides computational efficiency, symbolic methods are also robust when noise is present. Using various types of measurements from experimental beds, we illustrate specific examples of how symbolization can be applied to fluidization diagnostics. We also suggest directions for future research.",

author = "Finney, {C. E.A.} and K. Nguyen and Daw, {C. S.} and Halow, {J. S.}",

note = "Publisher Copyright: {\textcopyright} 1998 American Society of Mechanical Engineers (ASME). All rights reserved.; ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998 ; Conference date: 15-11-1998 Through 20-11-1998",

year = "1998",

doi = "10.1115/IMECE1998-0757",

language = "English",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

publisher = "American Society of Mechanical Engineers (ASME)",

pages = "405--411",

booktitle = "Heat Transfer",

}

Finney, CEA, Nguyen, K, Daw, CS & Halow, JS 1998, SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION. in Heat Transfer: Volume 5 � Numerical and Experimental Methods in Heat Transfer. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 1998-Q, American Society of Mechanical Engineers (ASME), pp. 405-411, ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998, Anaheim, United States, 11/15/98. https://doi.org/10.1115/IMECE1998-0757

SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION. / Finney, C. E.A.; Nguyen, K.; Daw, C. S. et al.
Heat Transfer: Volume 5 � Numerical and Experimental Methods in Heat Transfer. American Society of Mechanical Engineers (ASME), 1998. p. 405-411 (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 1998-Q).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION

AU - Finney, C. E.A.

AU - Nguyen, K.

AU - Daw, C. S.

AU - Halow, J. S.

PY - 1998

Y1 - 1998

N2 - We propose that data-symbolization methods derived from nonlinear dynamics and chaos theory can be useful for characterizing and monitoring patterns in fluidized-bed measurement signals. Data symbolization involves the discretization of a measurement signal into a limited set of values. In this discretized form, the measurements can be processed very efficiently to detect dynamic patterns that signify various types of physical phenomena, including bubbling, slugging, and transitions between fluidization states. Besides computational efficiency, symbolic methods are also robust when noise is present. Using various types of measurements from experimental beds, we illustrate specific examples of how symbolization can be applied to fluidization diagnostics. We also suggest directions for future research.

AB - We propose that data-symbolization methods derived from nonlinear dynamics and chaos theory can be useful for characterizing and monitoring patterns in fluidized-bed measurement signals. Data symbolization involves the discretization of a measurement signal into a limited set of values. In this discretized form, the measurements can be processed very efficiently to detect dynamic patterns that signify various types of physical phenomena, including bubbling, slugging, and transitions between fluidization states. Besides computational efficiency, symbolic methods are also robust when noise is present. Using various types of measurements from experimental beds, we illustrate specific examples of how symbolization can be applied to fluidization diagnostics. We also suggest directions for future research.

UR - http://www.scopus.com/inward/record.url?scp=85070843818&partnerID=8YFLogxK

U2 - 10.1115/IMECE1998-0757

DO - 10.1115/IMECE1998-0757

M3 - Conference contribution

AN - SCOPUS:85070843818

T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

SP - 405

EP - 411

BT - Heat Transfer

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998

Y2 - 15 November 1998 through 20 November 1998

ER -

SYMBOL-SEQUENCE STATISTICS FOR MONITORING FLUIDIZATION

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this