A specialized genetic algorithm for the electrical impedance tomography of two-phase flows



Document title: A specialized genetic algorithm for the electrical impedance tomography of two-phase flows
Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Database: PERIÓDICA
System number: 000312319
ISSN: 1678-5878
Authors: 1
2
Institutions: 1Universidade de Sao Paulo, Faculdade de Filosofia, Ciencias e Letras, Ribeirao Preto, Sao Paulo. Brasil
2Universidade de Sao Paulo, Faculdade de Engenharia, Sao Carlos, Sao Paulo. Brasil
Year:
Season: Oct-Dic
Volumen: 28
Number: 4
Pages: 378-389
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Experimental
English abstract The main objective of this work is to contribute to the development of a new tomographic reconstruction method well suited for processing signals obtained from electrical or other soft sensing field probes. The adopted approach consists in formulating the reconstruction problem in terms of an error function, which assesses the difference between a prospective and the actual internal contrast distribution (3D image), and searching for its minimum with the help of a specialized genetic algorithm (GA). Numerical simulations have been performed to demonstrate the feasibility of the proposed reconstruction method, as well as to emphasize the relation between the ill-posed nature of the problem and the topology of the minimization hyper-surface, and the importance of considering this relation when designing the numerical solution procedure. Results show that convergence is greatly enhanced when a priori information is introduced in the error function
Disciplines: Ingeniería
Keyword: Ingeniería de control,
Ingeniería mecánica,
Impedancia,
Tomografía,
Algoritmos genéticos,
Problemas inversos,
Flujo multifásico
Keyword: Engineering,
Control engineering,
Mechanical engineering,
Tomography,
Impedance,
Genetic algorithms,
Inverse problems,
Multiphase flow
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