https://scholars.lib.ntu.edu.tw/handle/123456789/409693
標題: | Optimal sensor placement and maintenance strategies for mass-flow networks | 作者: | Lai C.-A. Chang C.-T. Ko C.-L. Chen C.-L. |
公開日期: | 2003 | 卷: | 42 | 期: | 19 | 起(迄)頁: | 4366-4375 | 來源出版物: | Industrial and Engineering Chemistry Research | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/409693 | ISSN: | 08885885 | DOI: | 10.1021/ie020567j |
顯示於: | 化學工程學系 |
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