SID-GA: An evolutionary approach for improving observability and redundancy analysis in structural instrumentation design
- Carballido, Jessica Andrea
- Ponzoni, Ignacio
- Brignole, Nélida Beatriz
DOIAbstract
In this paper the core of a genetic algorithm designed to define a sensor network for instrumentation design (ID) is presented. The tool has been incorporated into a decision support system (DSS) that assists the engineer during the ID process. The algorithm satisfactorily deals with non-linear mathematical models, and considers four design objectives, namely observability, cost, reliability and redundancy, exhibiting properties that were either never addressed by existing techniques or partially dealt with in the literature. Its performance was tested by carrying out the ID of an ammonia synthesis industrial plant. Results were statistically analysed. A face validity study on the fitness function's soundness was also assessed by a chemical...
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