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Bracke, W, Delghust, M, Laverge, J and Janssens, A (2019) Building energy performance: sphere area as a fair normalization concept. Building Research & Information, 47(05), 549–66.

Camacho-Montano, S C, Wagner, A, Erhorn-Kluttig, H, Mumovic, D and Summerfield, A (2019) Clearing the air on EU guidance projects for school buildings. Building Research & Information, 47(05), 624–34.

Gunay, H B, Shen, W and Yang, C (2019) Text-mining building maintenance work orders for component fault frequency. Building Research & Information, 47(05), 518–33.

  • Type: Journal Article
  • Keywords: building operations; building performance; diagnostics; facilities management; fault detection; HVAC systems; maintenance; operator logbooks; text-mining;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2018.1459004
  • Abstract:
    Operators’ work order descriptions in computerized maintenance management systems (CMMS) represent an untapped opportunity to benchmark a facility’s maintenance and operation performance. However, it is challenging to carry out analytics on these large and amorphous databases. This paper puts forward a text-mining method to extract information about failure patterns in building systems and components from CMMS databases. The method is executed in three steps. Step 1 is pre-processing to convert work order descriptions into a mathematical form that lends itself to a quantitative lexical analysis. Step 2 is clustering to focus on interesting sections of a CMMS database that contain work orders about failures in building systems and components – rather than less interesting routine maintenance and inspection activities. Step 3 is association rule-mining to identify the coexistence tendencies among the terms of cluster of interest (e.g. coexistence of the terms ‘radiator’ and ‘leak’). This text-mining method is demonstrated by using two data sets. One data set was from a central heating and cooling plant with four boilers and five chillers; the other data set was from a cluster of 44 buildings. The results provide insights into per equipment breakdown of failure events, top system and component-level failure modes, and their occurrence frequencies.

McElroy, D J and Rosenow, J (2019) Policy implications for the performance gap of low-carbon building technologies. Building Research & Information, 47(05), 611–23.

Ozkan, A, Kesik, T, Yilmaz, A Z and O’Brien, W (2019) Development and visualization of time-based building energy performance metrics. Building Research & Information, 47(05), 493–517.

Prieto, A J, Vásquez, V, Silva, A, Horn, A, Alejandre, F J and Macías-Bernal, J M (2019) Protection value and functional service life of heritage timber buildings. Building Research & Information, 47(05), 567–84.

Smale, R, Spaargaren, G and van Vliet, B (2019) Householders co-managing energy systems: space for collaboration?. Building Research & Information, 47(05), 585–97.

Stender, M and Walter, A (2019) The role of social sustainability in building assessment. Building Research & Information, 47(05), 598–610.

Weijs-Perrée, M, van de Koevering, J, Appel-Meulenbroek, R and Arentze, T (2019) Analysing user preferences for co-working space characteristics. Building Research & Information, 47(05), 534–48.