Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80498
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZhang, XF-
dc.creatorZhang, YY-
dc.creatorZhang, L-
dc.creatorQiu, GX-
dc.creatorWei, DH-
dc.date.accessioned2019-03-26T09:17:33Z-
dc.date.available2019-03-26T09:17:33Z-
dc.identifier.issn1687-725Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/80498-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2018 Xingfu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Zhang, X. F., Zhang, Y. Y., Zhang, L., Qiu, G. X., & Wei, D. H. (2018). Power transmission tower monitoring with hydrostatic leveling system: measurement refinement and performance evaluation. Journal of Sensors, 4176314, 1-12 is available at https://dx.doi.org/10.1155/2018/4176314en_US
dc.titlePower transmission tower monitoring with hydrostatic leveling system : measurement refinement and performance evaluationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage12en_US
dc.identifier.doi10.1155/2018/4176314en_US
dcterms.abstractA hydrostatic leveling system (HLS) is an automated high-accuracy measurement technology widely used for vertical displacement monitoring. This paper focuses on evaluating the performance of HLS for monitoring the deformation of a power transmission tower base together with a slope sensor and displacement meter. The monitoring results show that HLS measurements are strongly affected by the environmental temperature. Therefore, to obtain the actual deformation of a monitoring target, the measurements should be further processed to reduce the effect of temperature on the result. To this end, four data processing schemes are proposed, which are based on the frequency of processing (i.e., day by day, monthly, quarterly, or annually). The results demonstrate that the quarterly processing scheme effectively reduces the impact of temperature on deformation measurements and therefore provides the most accurate results among the four schemes considered. Since after correction, the HLS measurements are consistent with the independent monitoring results obtained from the slope sensor and displacement meter, the proposed correction strategy is workable and might be considered for similar monitoring scenarios in future.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of sensors, 2018, 4176314, p. 1-12-
dcterms.isPartOfJournal of sensors-
dcterms.issued2018-
dc.identifier.isiWOS:000455779000001-
dc.identifier.scopus2-s2.0-85062612911-
dc.identifier.eissn1687-7268en_US
dc.identifier.artn4176314en_US
dc.description.validate201903 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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