Prism signal processing for machine condition monitoring I: Design and simulation

Manus Henry; Vladimir V. Sinitsin

doi:10.1109/ICPHYS.2018.8390747

Prism signal processing for machine condition monitoring I: Design and simulation

Manus Henry, Vladimir V. Sinitsin

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

8 Citations (Scopus)

47 Downloads (Pure)

Abstract

An earlier study described a wireless acceleration sensor used to perform condition monitoring of rotating machinery, via off-line spectral analysis. In this paper, a new technique called Prism signal processing is applied to the same problem to provide sample-by-sample analysis of the machine rotation. The Prism has low design cost and low computational cost, and so is particularly suited to the flexible signal processing requirements for the Internet of Things. This paper provides an overview of the sensor and its experimental rig as well as the Prism-based signal processing scheme used to track the key components for diagnostic monitoring. The validity of the signal processing scheme is demonstrate via a simulation.

Original language	English
Title of host publication	Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	452-457
Number of pages	6
ISBN (Electronic)	9781538665312
DOIs	https://doi.org/10.1109/ICPHYS.2018.8390747
Publication status	Published - 15 Jun 2018
Externally published	Yes
Event	IEEE International Conference on Industrial Cyber-Physical Systems, - Saint Petersburg, Russian Federation Duration: 15 May 2018 → 18 May 2018 Conference number: 1 https://www.ieee-tems.org/events/1st-ieee-international-conference-industrial-cyber-physical-systems-icps-2018/#:~:text=ICPS%202018,May%2015%2D18%2C%202018.

Publication series

Name	Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018

Conference

Conference	IEEE International Conference on Industrial Cyber-Physical Systems,
Abbreviated title	ICPS 2018
Country/Territory	Russian Federation
City	Saint Petersburg
Period	15/05/18 → 18/05/18
Internet address	https://www.ieee-tems.org/events/1st-ieee-international-conference-industrial-cyber-physical-systems-icps-2018/#:~:text=ICPS%202018,May%2015%2D18%2C%202018.

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Accelerometer
Diagnostics
Prism signal processing
Rotating machinery
Wireless acceleration sensor

ASJC Scopus subject areas

Artificial Intelligence
Hardware and Architecture
Control and Optimization
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICPHYS.2018.8390747

Post-PrintAccepted author manuscript, 3.64 MBLicence: Unspecified

Cite this

Henry, M., & Sinitsin, V. V. (2018). Prism signal processing for machine condition monitoring I: Design and simulation. In Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018 (pp. 452-457). (Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHYS.2018.8390747

Prism signal processing for machine condition monitoring I: Design and simulation. / Henry, Manus; Sinitsin, Vladimir V.
Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 452-457 (Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018).

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

Henry, M & Sinitsin, VV 2018, Prism signal processing for machine condition monitoring I: Design and simulation. in Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 452-457, IEEE International Conference on Industrial Cyber-Physical Systems, Saint Petersburg, Russian Federation, 15/05/18. https://doi.org/10.1109/ICPHYS.2018.8390747

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Prism signal processing for machine condition monitoring I: Design and simulation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this