Automatic Thresholding for Data Gap Detection for a Set of Sensors in Instrumented Buildings Article Swipe
Houda Najeh
,
Stéphane Ploix
,
Mahendra Pratap Singh
,
Karim Chabir
,
Mohamed Naceur Abdelkrim
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3607712
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3607712
Building systems are highly vulnerable to different kinds of faults and failures. In fact, various faults, failures and human behaviors could affect the building performance. This paper tackles the detection of unreliable sensors in buildings. Different literature surveys on diagnosis techniques for sensor grids in buildings have been published but all of them treat only bias and outliers. Occurences of data gaps have also not been given an adequate span of attention in the academia. The proposed methodology comprises the automatic thresholding for data gap detection for a set of heterogeneous sensors in instrumented buildings. Sensor measurements are considered to be regular time series. However, in reality, sensor values are not uniformly sampled. So, the issue to solve is from which delay each sensor become faulty? The use of time series is required for detection of abnormalities on the delays. The efficiency of the method is evaluated on measurements obtained from a real power plant: an office at Grenoble Institute of technology equipped by 30 sensors.
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- References
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https://openalex.org/W3015217940Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.3607712Digital Object Identifier
- Title
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Automatic Thresholding for Data Gap Detection for a Set of Sensors in Instrumented BuildingsWork title
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articleOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-01-07Full publication date if available
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Houda Najeh, Stéphane Ploix, Mahendra Pratap Singh, Karim Chabir, Mohamed Naceur AbdelkrimList of authors in order
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https://hal.science/hal-04967611Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://hal.science/hal-04967611Direct OA link when available
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Thresholding, Data set, Computer science, Set (abstract data type), Artificial intelligence, Data mining, Image (mathematics), Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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1Other works algorithmically related by OpenAlex
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| abstract_inverted_index.thresholding<br> | 81 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.20627495 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |