Lime kiln diagnostics with case-based reasoning

Olli Saarela, Jukka Rantamäki, Ismo Penttinen, Marja Nappa

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


Problem solving in continuous industrial processes is often a time-consuming task where the readings from many online measurements have to be studied simultaneously. To aid the process operators of a lime kiln in this task, an application utilizing case-based reasoning (CBR) was developed. One of the factors affecting system design was the number of training cases available, which was quite small for a CBR application. The diagnostic accuracy of the system was significantly improved with weight factor optimization, where the cost function was defined to find a suitable balance between false positives and false negatives. The results indicate that there are economically profitable possibilities in using the CBR approach and tools in everyday pulp & paper production processes.
Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Information & Knowledge Engineering, IKE 2009
PublisherCSREA Press
ISBN (Electronic)1-60132-115-5
ISBN (Print)1-60132-114-7
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
Event2009 International Conference on Information & Knowledge Engineering, IKE 2009
- Las Vegas, United States
Duration: 13 Jul 200916 Jul 2009


Conference2009 International Conference on Information & Knowledge Engineering, IKE 2009
Abbreviated titleIKE 2009
CountryUnited States
CityLas Vegas


  • case-based reasoning
  • weight factor
  • optimization
  • lime kiln
  • statistical process control

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