Optimal sensor placement and maintenance strategies for mass-flow networks

Chao An Lai, Chuei Tin Chang, Chin Leng Ko, Cheng Liang Chen

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


A mathematical programming model has been developed in this study to determine the best measurement locations in a given process network and also the optimal numbers of redundant and spare sensors used in a corrective maintenance program. The model solution yields the maximum system availability under a set of user supplied limitations on life-cycle cost and/or estimator's precision. Genetic algorithms were used to identify the optimum in an evolutionary process. The usefulness of the proposed approach is demonstrated with extensive case studies.

Original languageEnglish
Pages (from-to)4366-4375
Number of pages10
JournalIndustrial and Engineering Chemistry Research
Issue number19
Publication statusPublished - 2003 Sep 17

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering


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