Abstract
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 language | English |
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| Title of host publication | 2018 Global Smart Industry Conference (GloSIC) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 8 |
| ISBN (Electronic) | 9781538673867 |
| DOIs | |
| Publication status | Published - 7 Dec 2018 |
| Externally published | Yes |
| Event | 2018 Global Smart Industry Conference - Chelyabinsk, Russian Federation Duration: 13 Nov 2018 → 15 Nov 2018 |
Publication series
| Name | Proceedings - 2018 Global Smart Industry Conference, GloSIC 2018 |
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Conference
| Conference | 2018 Global Smart Industry Conference |
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| Abbreviated title | GloSIC 2018 |
| Country/Territory | Russian Federation |
| City | Chelyabinsk |
| Period | 13/11/18 → 15/11/18 |
Funding
The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0011
Keywords
- 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