Sensor Validation Via Ultrasonic Signal Processing Analysis

Manus Henry, Oleg Yu Bushuev, Danil Salov

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)
44 Downloads (Pure)


The verification of the proper operation of individual sensors is increasingly important as a means of validating the measurements that they generate. One technique for verifying the structural integrity of a transducer and its housing is to use ultrasonic probing, whereby an ultrasonic pulse is generated within the sensor housing. The response signal, which contains multiple resonances, indicative of structural health, is monitored and analyzed. Alternative techniques have been applied to analyze the ultrasonic response signals, obtained from a pressure sensor housing. These include Prism Signal Processing and the Matrix Pencil Method. Both of these techniques are able to track the frequency and amplitude of six or more modes of vibration. Experimental results demonstrate that large shifts in calculated parameter values occur when a fault condition is introduced. In addition, the time varying amplitudes of the modes do not always exhibit the expected exponential decay: this characteristic behaviour may provide an important additional diagnostic information.

Original languageEnglish
Title of host publication2018 Global Smart Industry Conference (GloSIC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781538673867
Publication statusPublished - 7 Dec 2018
Externally publishedYes
Event2018 Global Smart Industry Conference - Chelyabinsk, Russian Federation
Duration: 13 Nov 201815 Nov 2018

Publication series

NameProceedings - 2018 Global Smart Industry Conference, GloSIC 2018


Conference2018 Global Smart Industry Conference
Abbreviated title GloSIC 2018
Country/TerritoryRussian Federation


  • fault detection and diagnosis
  • Matrix Pencil Method
  • pressure transducer
  • Prism signal processing
  • self-validation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Instrumentation
  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Computer Science Applications
  • Energy Engineering and Power Technology


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