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Signal Processing Methods for Coriolis Mass Flow Metering in Two-Phase Flow Conditions

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Henry, M., & Li, M. (2016). Signal Processing Methods for Coriolis Mass Flow Metering in Two-Phase Flow Conditions. 2016 IEEE International Conference on Industrial Technology (ICIT), 31, 690–695.

MLA Style

Henry, M., and M. Li. “Signal Processing Methods for Coriolis Mass Flow Metering in Two-Phase Flow Conditions.” 2016 IEEE International Conference on Industrial Technology (ICIT), vol. 31, Institute of Electrical and Electronics Engineers, 2016, pp. 690–95.

Chicago Style

Henry, M, and M Li. 2016. “Signal Processing Methods for Coriolis Mass Flow Metering in Two-Phase Flow Conditions.” In 2016 IEEE International Conference on Industrial Technology (ICIT), 31:690–95. Institute of Electrical and Electronics Engineers.
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Files:: Li and Henry revised draft submitted.doc

(Accepted manuscript, doc, 929.5KB)

Publisher copy:: 10.1109/ICIT.2016.7474833

Authors

+ Henry, M More by this author

Institution:

University of Oxford

Division:

MPLS

Department:

Engineering Science

Role:

Author

+ Li, M More by this author

Role:

Author

Bibliographic Details

Publisher:: Institute of Electrical and Electronics Engineers
Host title:: 2016 IEEE International Conference on Industrial Technology
Journal:: 2016 IEEE International Conference on Industrial Technology (ICIT) More from this journal
Volume:: 31
Pages:: 690–695
Publication date:: 2016-05-26
Acceptance date:: 2015-12-12
DOI:: 10.1109/ICIT.2016.7474833

Item Description

Keywords:: SBTMR
Pubs id:: pubs:617208
UUID:: uuid:19892d82-c7a0-4375-99e5-a321b7183950
Local pid:: pubs:617208
Source identifiers:: 617208
Deposit date:: 2016-04-22

Terms of use

Copyright holder:: IEEE
Copyright date:: 2016
Notes:: This is an
Accepted Manuscript of a journal article published by IEEE in 2016 IEEE International Conference on Industrial Technology on 2015-05-26, available online: http://dx.doi.org/10.1109/ICIT.2016.7474833

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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