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N-dimensional fault detection and operational analysis with performance metrics
Blekinge Institute of Technology, School of Computing.
2012 (English)Conference paper, (Refereed)
Abstract [en]

A district heating consumer substation is a complex entity, consisting of a range of interacting components such as valves, pumps, heat exchangers and control systems. The energy efficiency of a consumer sub- station is dependent on several things, e.g. settings of the control system, dimensions and operational behaviour of hardware and accumulation of sediments in the heat exchanger. Visualizing this operational functionality of consumer substations has been studied in several previous projects. This paper addresses certain shortcomings inherent in those previous works by presenting a novel visualization approach using parallel coordinates and scatter plot matrices. A comparison between these and previous visualization techniques is presented and discussed. Furthermore, the paper presents a scheme for statistical analysis based on n-dimensional relationships found in parallel coordinates and scatter plot matrices, thus providing key performance indicators appropriate for large-scale detection and analysis. It is shown that the presented visualization techniques are at least equal to previous attempts in regards to fault detection and operational analysis, while simultaneously addressing several of their shortcomings. Furthermore, it is shown that the subsequent statistical analysis provides a workable starting point for system-wide fault detection and analysis within any district heating system.

Abstract [sv]

Två metoder för förbättrad informationsspridning inom fjärrvärmesystem presenteras. En baserad på grafisk visualiseringsmetodik, och en baserad på statisktiska nyckeltal. Driftsäkerhet, Operativ visualisering, feldetektering, nyckeltal

Place, publisher, year, edition, pages
Copenhagen, Denmark, 2012.
Keyword [en]
Operating reliability, Operational visualization, Fault detection, Performance metrics, Contour mapping
National Category
Human Aspects of ICT Computer Science
Identifiers
URN: urn:nbn:se:bth-7093Local ID: oai:bth.se:forskinfo15607DBD55F95ADCC1257ACF0054F4D4OAI: oai:DiVA.org:bth-7093DiVA: diva2:834674
Conference
The 13th International Symposium on District Heating and Cooling
Available from: 2012-12-12 Created: 2012-12-09 Last updated: 2016-09-20Bibliographically approved

Open Access in DiVA

fulltext(272 kB)43 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf