Prism signal processing for machine condition monitoring II: Experimental data and fault detection

Manus Henry, Vladimir V. Sinitsin

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

7 Citations (Scopus)
6 Downloads (Pure)

Abstract

The Internet of Things (IoT) concept, alongside wireless technologies, supports the mounting of sensors in inaccessible positions and thus provides new opportunities for machine condition monitoring. This paper outlines experimental results using Prism signal processing to track rotor angular acceleration via a Wireless Acceleration Sensor (WAS) mounted on a rotating shaft. The instantaneous frequency and amplitude of each component of the angular acceleration is tracked, with a view to providing diagnostic information. The experimental results illustrate how amplitude data can provide indications of gear faults, via further Prism signal processing.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages458-463
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

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 II: Experimental data and fault detection'. Together they form a unique fingerprint.

Cite this