Fatigue measurement of structural materials under dynamic stress allows the prediction and early detection of potential problems, but under actual working conditions a signal by an instrumentation with a strain-gage is inaccurate because of noise. If the signal and the noise are separated in the frequency domain, the noise can be reduced. Kalman has presented a method with an accurate mathematical model and noise properties for the countermeasure of random noise. By acquiring of the reference noise, the noise is canceled even if the signal and noise can not be separated in the frequency domain. We have developed a method of noise cancellation in an instrumentation; using a sensor, a sensordummy and a simple circuit with an analog switch. This method does not need the acquiring of the reference noise for noise canceling even if the signal and noise can not be separated in the frequency domain. An analog switch, alternative switching between a sensor and a sensordummy, provided two signals to the transmission line. One signal had the signal with noise, and the other signal only had the noise. And we have subtracted the signal which had only noise from the signal which had noise plus the signal. Data processing of the two signals, based on Eqs. (3) and (4) makes a reliable signal without noise on the transmission line. In this case, the
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Katsutoshi MINE, Yuji MORIMOTO, "A Method of Noise-Canceling for an Instrumentation Using Sensordummy" in IEICE TRANSACTIONS on transactions,
vol. E73-E, no. 5, pp. 684-687, May 1990, doi: .
Abstract: Fatigue measurement of structural materials under dynamic stress allows the prediction and early detection of potential problems, but under actual working conditions a signal by an instrumentation with a strain-gage is inaccurate because of noise. If the signal and the noise are separated in the frequency domain, the noise can be reduced. Kalman has presented a method with an accurate mathematical model and noise properties for the countermeasure of random noise. By acquiring of the reference noise, the noise is canceled even if the signal and noise can not be separated in the frequency domain. We have developed a method of noise cancellation in an instrumentation; using a sensor, a sensordummy and a simple circuit with an analog switch. This method does not need the acquiring of the reference noise for noise canceling even if the signal and noise can not be separated in the frequency domain. An analog switch, alternative switching between a sensor and a sensordummy, provided two signals to the transmission line. One signal had the signal with noise, and the other signal only had the noise. And we have subtracted the signal which had only noise from the signal which had noise plus the signal. Data processing of the two signals, based on Eqs. (3) and (4) makes a reliable signal without noise on the transmission line. In this case, the
URL: https://globals.ieice.org/en_transactions/transactions/10.1587/e73-e_5_684/_p
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@ARTICLE{e73-e_5_684,
author={Katsutoshi MINE, Yuji MORIMOTO, },
journal={IEICE TRANSACTIONS on transactions},
title={A Method of Noise-Canceling for an Instrumentation Using Sensordummy},
year={1990},
volume={E73-E},
number={5},
pages={684-687},
abstract={Fatigue measurement of structural materials under dynamic stress allows the prediction and early detection of potential problems, but under actual working conditions a signal by an instrumentation with a strain-gage is inaccurate because of noise. If the signal and the noise are separated in the frequency domain, the noise can be reduced. Kalman has presented a method with an accurate mathematical model and noise properties for the countermeasure of random noise. By acquiring of the reference noise, the noise is canceled even if the signal and noise can not be separated in the frequency domain. We have developed a method of noise cancellation in an instrumentation; using a sensor, a sensordummy and a simple circuit with an analog switch. This method does not need the acquiring of the reference noise for noise canceling even if the signal and noise can not be separated in the frequency domain. An analog switch, alternative switching between a sensor and a sensordummy, provided two signals to the transmission line. One signal had the signal with noise, and the other signal only had the noise. And we have subtracted the signal which had only noise from the signal which had noise plus the signal. Data processing of the two signals, based on Eqs. (3) and (4) makes a reliable signal without noise on the transmission line. In this case, the
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - A Method of Noise-Canceling for an Instrumentation Using Sensordummy
T2 - IEICE TRANSACTIONS on transactions
SP - 684
EP - 687
AU - Katsutoshi MINE
AU - Yuji MORIMOTO
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 5
JA - IEICE TRANSACTIONS on transactions
Y1 - May 1990
AB - Fatigue measurement of structural materials under dynamic stress allows the prediction and early detection of potential problems, but under actual working conditions a signal by an instrumentation with a strain-gage is inaccurate because of noise. If the signal and the noise are separated in the frequency domain, the noise can be reduced. Kalman has presented a method with an accurate mathematical model and noise properties for the countermeasure of random noise. By acquiring of the reference noise, the noise is canceled even if the signal and noise can not be separated in the frequency domain. We have developed a method of noise cancellation in an instrumentation; using a sensor, a sensordummy and a simple circuit with an analog switch. This method does not need the acquiring of the reference noise for noise canceling even if the signal and noise can not be separated in the frequency domain. An analog switch, alternative switching between a sensor and a sensordummy, provided two signals to the transmission line. One signal had the signal with noise, and the other signal only had the noise. And we have subtracted the signal which had only noise from the signal which had noise plus the signal. Data processing of the two signals, based on Eqs. (3) and (4) makes a reliable signal without noise on the transmission line. In this case, the
ER -