An approach for diagnosability analysis and sensor placement for continuous processes based on evolutionary algorithms and analytical redundancy

In this work we propose to use an approach based on genetic algorithms to obtain analytical redundancy relations to study the diagnosability property on a given con-tinuous system, and if this not fulfill, our approach allows studying the sensor place-ment problem in order to fulfill it. The redunda...

• 第一著者: Aguilar Castro, J. (author)
• フォーマット: article
• 出版事項: 2015
• 主題: Bipartite graph; Diagnosability; Genetic algorithm; Sensors placement; Structural analysis
• オンライン･アクセス: http://dspace.utpl.edu.ec/handle/123456789/19012