Title :
Dynamic mass measurement by the frequency estimation method used the frequency analysis type adaptive algorithm - analysis of dynamical characteristic and improvement of the measurement accuracy
Author :
Umemoto, Toshitalra ; OHARA, Yuya
Author_Institution :
Osaka Prefectural Coll. of Technol., Neyagawa, Japan
Abstract :
The necessity of quick and accurate mass measurement is becoming more necessary as a result of automation in industry, especially in processing lines. In a previous paper, the authors proposed a new method that can interpolate frequencies using the complex least mean square (LMS) algorithm. Here, we apply this method to obtain the mass of objects under dynamic conditions using resonance frequencies and damping ratios. Finally, the effectiveness of the proposed method is examined by experiments.
Keywords :
adaptive signal processing; damping; frequency estimation; interpolation; least mean squares methods; mass measurement; measurement uncertainty; spectral analysis; complex least mean square algorithm; damping ratios; dynamic conditions; dynamic mass measurement; dynamical characteristic; frequency analysis type adaptive algorithm; frequency estimation method; frequency interpolation; industry automation; measurement accuracy; processing lines; resonance frequencies; spectral analysis; Adaptive algorithm; Algorithm design and analysis; Automation; Damping; Detectors; Equations; Frequency estimation; Frequency measurement; Least squares approximation; Resonance;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195310