| Abstract: | We propose a new method of evaluating the quality of a transmission device according to the acoustic data by using the genetic algorithm (GA) with floating points (FP). We extracted the  spectrum average and the frequency variation from the acoustic data of operating transmission devices. Then we used the GA with FP to select the significant frequencies and made a quality evaluation rule to classify the good and defective products. For the frequency variation, we used the learning vector quantization (LVQ) to evaluate the quality of transmission devices. Using either the spectrum average or frequency variation alone might lead to incorrect results. However, we can ensure the final quality of transmission devices by using both frequency variation and spectrum average. The experimental results showed that the proposed method can perform the quality evaluation of transmission devices successfully and has better performance than the results obtained by the conventional GA with binary representation.This work was presented, in part, at the 8th International Symposium on Artificial Life and Robotics, Oita, Japan, January 24–26, 2003 |
