The fusion of redundant SEVA measurements
The self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand. Cons...
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| Format: | Journal article |
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Institute of Electrical and Electronics Engineers
2004
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| _version_ | 1797056508363538432 |
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| author | Duta, M Henry, M |
| author_facet | Duta, M Henry, M |
| author_sort | Duta, M |
| collection | OXFORD |
| description | The self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand. Consistency checking is shown to be equivalent to the maximum clique problem, which is NP-hard, but a linear approximation is described. A technique called uncertainty extension is proposed which causes a smooth reduction in the influence of outliers as they become increasingly inconsistent with the majority. |
| first_indexed | 2024-03-06T19:23:40Z |
| format | Journal article |
| id | oxford-uuid:1afa9f92-116c-4a80-9d86-0155d998751a |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:23:40Z |
| publishDate | 2004 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:1afa9f92-116c-4a80-9d86-0155d998751a2022-03-26T10:57:45ZThe fusion of redundant SEVA measurementsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1afa9f92-116c-4a80-9d86-0155d998751aSymplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2004Duta, MHenry, MThe self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand. Consistency checking is shown to be equivalent to the maximum clique problem, which is NP-hard, but a linear approximation is described. A technique called uncertainty extension is proposed which causes a smooth reduction in the influence of outliers as they become increasingly inconsistent with the majority. |
| spellingShingle | Duta, M Henry, M The fusion of redundant SEVA measurements |
| title | The fusion of redundant SEVA measurements |
| title_full | The fusion of redundant SEVA measurements |
| title_fullStr | The fusion of redundant SEVA measurements |
| title_full_unstemmed | The fusion of redundant SEVA measurements |
| title_short | The fusion of redundant SEVA measurements |
| title_sort | fusion of redundant seva measurements |
| work_keys_str_mv | AT dutam thefusionofredundantsevameasurements AT henrym thefusionofredundantsevameasurements AT dutam fusionofredundantsevameasurements AT henrym fusionofredundantsevameasurements |