Optimal sensor placement and maintenance strategies for mass-flow networks

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

doi:10.1021/ie020567j

Optimal sensor placement and maintenance strategies for mass-flow networks

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

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	4366-4375
Number of pages	10
Journal	Industrial and Engineering Chemistry Research
Volume	42
Issue number	19
DOIs	https://doi.org/10.1021/ie020567j
Publication status	Published - 2003 Sept 17

All Science Journal Classification (ASJC) codes

General Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

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10.1021/ie020567j

Cite this

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Optimal sensor placement and maintenance strategies for mass-flow networks

Abstract

All Science Journal Classification (ASJC) codes

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