Prism signal processing for sensor condition monitoring

M. Henry; O.Y. Bushuev; O.L. Ibryaeva

doi:10.1109/ISIE.2017.8001451

Prism signal processing for sensor condition monitoring

M. Henry, O.Y. Bushuev, O.L. Ibryaeva

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

10 Citations (Scopus)

Abstract

This paper introduces a new technique, Prism signal processing, which may be used for the tracking of one or more noisy sinusoids in a signal. A simulation study is presented demonstrating the potential of Prism signal processing as an alternative to Prony's method for analyzing exponentially decaying sinusoids. One application is to sensor condition monitoring of an industrial pressure sensor, using ultrasonic excitation to evaluate the sensor's structural integrity. Initial experimental results suggest the Prism technique can reveal details in the resulting frequency/amplitude time series of each component, which is not available through Prony's method.

Original language	English
Title of host publication	2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	978-1-5090-1412-5
DOIs	https://doi.org/10.1109/ISIE.2017.8001451
Publication status	Published - 8 Aug 2017
Externally published	Yes
Event	26th International Symposium on Industrial Electronics - Edinburgh, United Kingdom Duration: 19 Jun 2017 → 21 Jun 2017

Conference

Conference	26th International Symposium on Industrial Electronics
Abbreviated title	ISIE
Country	United Kingdom
City	Edinburgh
Period	19/06/17 → 21/06/17

Access to Document

10.1109/ISIE.2017.8001451

http://www.scopus.com/inward/record.url?eid=2-s2.0-85029905443&partnerID=MN8TOARS

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Cite this

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abstract = "This paper introduces a new technique, Prism signal processing, which may be used for the tracking of one or more noisy sinusoids in a signal. A simulation study is presented demonstrating the potential of Prism signal processing as an alternative to Prony's method for analyzing exponentially decaying sinusoids. One application is to sensor condition monitoring of an industrial pressure sensor, using ultrasonic excitation to evaluate the sensor's structural integrity. Initial experimental results suggest the Prism technique can reveal details in the resulting frequency/amplitude time series of each component, which is not available through Prony's method.",

author = "M. Henry and O.Y. Bushuev and O.L. Ibryaeva",

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booktitle = "2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)",

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note = " 26th International Symposium on Industrial Electronics, ISIE ; Conference date: 19-06-2017 Through 21-06-2017",

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AU - Bushuev, O.Y.

AU - Ibryaeva, O.L.

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N2 - This paper introduces a new technique, Prism signal processing, which may be used for the tracking of one or more noisy sinusoids in a signal. A simulation study is presented demonstrating the potential of Prism signal processing as an alternative to Prony's method for analyzing exponentially decaying sinusoids. One application is to sensor condition monitoring of an industrial pressure sensor, using ultrasonic excitation to evaluate the sensor's structural integrity. Initial experimental results suggest the Prism technique can reveal details in the resulting frequency/amplitude time series of each component, which is not available through Prony's method.

AB - This paper introduces a new technique, Prism signal processing, which may be used for the tracking of one or more noisy sinusoids in a signal. A simulation study is presented demonstrating the potential of Prism signal processing as an alternative to Prony's method for analyzing exponentially decaying sinusoids. One application is to sensor condition monitoring of an industrial pressure sensor, using ultrasonic excitation to evaluate the sensor's structural integrity. Initial experimental results suggest the Prism technique can reveal details in the resulting frequency/amplitude time series of each component, which is not available through Prony's method.

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M3 - Conference proceeding

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BT - 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 June 2017 through 21 June 2017

ER -