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

Manus Henry, Vladimir V. Sinitsin

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

5 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages452-457
Number of pages6
ISBN (Electronic)9781538665312
DOIs
Publication statusPublished - 15 Jun 2018
Externally publishedYes
EventIEEE International Conference on Industrial Cyber-Physical Systems, - Saint Petersburg, Russian Federation
Duration: 15 May 201818 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

NameProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018

Conference

ConferenceIEEE International Conference on Industrial Cyber-Physical Systems,
Abbreviated title ICPS 2018
CountryRussian Federation
CitySaint Petersburg
Period15/05/1818/05/18
Internet address

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

Fingerprint Dive into the research topics of 'Prism signal processing for machine condition monitoring I: Design and simulation'. Together they form a unique fingerprint.

  • 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