Title
Impedance Measurements Using Genetic Algorithms and Multiharmonic Signals
Abstract
In this paper, a procedure to measure impedances using data-acquisition boards and genetic algorithms is developed. This approach to impedance measurements has the advantage of being low cost. The multiharmonic acquired waveforms are characterized using a genetic algorithm that finds the frequency of the signal, which, in turn, is used in a multiple linear least-squares (LS) waveform-fitting algorithm. The magnitude and phase of the unknown impedance can then be evaluated. A multiharmonic signal is used so that the frequency dependence of the impedance can be obtained from a single measurement. The measurement results are validated by measurements made with an impedance analyzer. The main advantage of the genetic algorithm over traditional search methods is its robustness to convergence problems.
Year
DOI
Venue
2009
10.1109/TIM.2008.2005077
Instrumentation and Measurement, IEEE Transactions
Keywords
Field
DocType
electric impedance measurement,genetic algorithms,least squares approximations,signal processing,data-acquisition boards,genetic algorithm,impedance analyzer,impedance measurements,multiharmonic signals,multiple linear least-square waveform-fitting algorithm,Data acquisition,genetic algorithms,impedance measurement,signal processing,signal sampling
Convergence (routing),Signal processing,Computer science,Waveform,Data acquisition,Electronic engineering,Robustness (computer science),Electrical impedance,Impedance analyzer,Genetic algorithm
Journal
Volume
Issue
ISSN
58
2
0018-9456
Citations 
PageRank 
References 
7
1.04
7
Authors
2
Name
Order
Citations
PageRank
Fernando M. Janeiro1476.74
Pedro M. Ramos211517.91