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Dataset for assessing the reliability of central heating station based units of buildings
- Source :
- Data in Brief, Vol 31, Iss, Pp 105730-(2020), Data in Brief
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- This article contains data on equipment failures at thirty-six centralized heating stations. In the process of operation of heating stations, the arising failures can lead to a significant decrease in air temperature in heated rooms. Data was obtained through the study of operational logs. When analyzing the data, we used the records of a five-year observation period (2012 to 2017) taking into account the preventive work that carried out annually as part of the preparation of equipment for use in winter conditions. Malfunctions of equipment elements, that arise during the operation of heat supply stations, have different meanings in qualitative and quantitative aspects. Different specialists of the same qualification may not represent the same quality characteristics of the same shortcomings. The presentation of faults in the form of sequences of numbers allows to formalize the analysis and reduce the influence of the subjective factor. Data on observations of equipment failures and restoration are the basis for determining the equipment reliability indicators at heat supply stations. The data can be used for repair planning, emergency services, financial planning and operational management focus. The obtained data are related to the research article "Monitoring of heating systems as a factor of energy safety of buildings" [1].
- Subjects :
- 0303 health sciences
Multidisciplinary
Computer science
Process (engineering)
Heating unit
Heat supply
Financial plan
Pump
lcsh:Computer applications to medicine. Medical informatics
Reliability engineering
03 medical and health sciences
Point of heat supply
0302 clinical medicine
Engineering
Work (electrical)
District heating
Air temperature
lcsh:R858-859.7
Research article
Quality characteristics
lcsh:Science (General)
030217 neurology & neurosurgery
Reliability (statistics)
030304 developmental biology
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 23523409
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....36301f00665b46dad2dad069d8339a03