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This article is cited in 1 scientific paper (total in 1 paper)
Methods and tools for fault detection on elements of housing and utility infrastructure
I. A. Shanin, S. A. Stupnikov, V. N. Zakharov Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian
Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
The work belongs to the area of development of specific information systems based on the Internet of Things technology. An approach for program implementation of a module intended for detection of faults on elements of housing and utility infrastructure is proposed. The module is considered as a part of an information system aimed at technical maintenance of mentioned elements: condition monitoring, predictive maintenance, fault detection, and reporting. Operation algorithms of module components are described: building of operation models for housing and utility infrastructure elements and fault detection. The approach is applied on a couple of datasets for fault detection, experimental results are presented.
Keywords:
Internet of Things; data analysis; fault detection; housing and utility infrastructure.
Received: 15.07.2018
Citation:
I. A. Shanin, S. A. Stupnikov, V. N. Zakharov, “Methods and tools for fault detection on elements of housing and utility infrastructure”, Inform. Primen., 12:3 (2018), 67–73
Linking options:
https://www.mathnet.ru/eng/ia549 https://www.mathnet.ru/eng/ia/v12/i3/p67
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Abstract page: | 301 | Full-text PDF : | 132 | References: | 33 |
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