Boden, Matthew (2023) Noncontact Distance and Vibration Measurement. [USQ Project]
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Abstract
Vibration measurement is an important part of any machinery maintenance schedule, ensuring both correct operation and reliability. It can have devastating effects on rotating equipment and severly reduces the expected life span of said machinery. Being able to measure vibration remotely, without the need for physical contact with the device being assessed, allows for in-use servicing assessments which reduces down time of machinery and ensuring the health of the machine is being monitored.
To date, non-contact distance and vibration measurement has been extensively researched for use with medical patients, allowing for doctors to record accurate measurements of vital signs for heart and respitory rates of their patients. The research into the different algorithms used in this field predominately revolves around proving their ability to accurately capture the displacement under investigation. The gap in knowledge to close in order for this technology to have application in the industrial space is how this technology and algorithms are able to withstand the harsh environmental factors that are present in the areas these machinery operate.
It was found that the algorithms in question are able to operate in environments where noise and attenuation are abscent. It was discovered that the mathematical steps involved with some algorithms has made them less susceptible than others, making them the more robust choice for measurement in harsh environments when environmental noise has been introduced.
To complete the objectives of this project a literature review has been conducted which identified existing research around the operation of the algorithms. Determining how they operate so each could be replicated in simulation software. Literature review was also conducted around the environmental factors and the affect’s they have on electromagentic waves to deterimine how noise imparted on the signals could be implemented in the modelling software.
Each algorithm was then constructed and run through a series of tests concentrating on the error that is introduced by each attribute related to the electromagentic waves propogation through space. Data analysis was completed on the resulting datasets to highlight which factors affect the accuracy of each algorithm the most.
Once the behaviour of the algorithms had been confirmed theoretically, emperical testing was started to validate the results that were seen.
In summary each algorithm is affected by noise that impacts the amplitude of the recieved signal, each algorithm is accurate up to a point and the accuracy is heavily dependent on the carrier frequency chosen.
Two of the three algorithms were able to measure the vibration accurately in ideal conditions. Data anlysis proves that the attributes governing the recieved wave affect the error differently, with the amplitude attribute contributing more to the error than the phase attribute. All algorithms were suceptible to noise to the point where the accuracy is too far diminshed to be used in a practical sense and further pre-processing should be investigated.
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| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -) |
| Supervisors: | Leis, John |
| Qualification: | Bachelor of Engineering (Honours) |
| Date Deposited: | 23 Sep 2025 03:04 |
| Last Modified: | 23 Sep 2025 03:04 |
| Uncontrolled Keywords: | vibration measurement; machinery |
| URI: | https://sear.unisq.edu.au/id/eprint/52932 |
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