| Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.694865 |
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| Title: | Condition classification in underground pipes based on acoustical characteristics | ||||||
| Author: | Feng, Zao | ||||||
| Awarding Body: | University of Bradford | ||||||
| Current Institution: | University of Bradford | ||||||
| Date of Award: | 2013 | ||||||
| Availability of Full Text: |
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| Abstract: | |||||||
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Acoustical characteristics are used to classify the structural and operational conditions in underground pipes with advanced signal classification methods.
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| Supervisor: | Not available | Sponsor: | Not available | ||||
| Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||||
| EThOS ID: | uk.bl.ethos.694865 | DOI: | Not available | ||||
| Keywords: | Acoustics ; Condition classification ; Pipes ; Siphons ; Sewers ; Condition/defect analysis ; Sound intensity ; Signal processing ; Machine learning | ||||||
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