Vibration Noise Cancellation of Weighing with Adaptive Filter Base on Reference Signal AC from Accelerometer and DC with Constant

Authors

  • Nateekan Moonthongnoi Department of Telecommunications Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang
  • Surapol Boonjun Department of Telecommunications Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang
  • Paramote Wardkein Department of Telecommunications Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang
  • Anchalee Manosueb Faculty of Engineering, Rajamangala University of Technology Phra Nakhon

Keywords:

Weighting, Vibration, Adaptive Filter, Accelerometer

Abstract

          The weighing system is a crucial part of the process in many activities. Some activities demand high accuracy, which is a real environment that cannot be controlled. We found that the strain gauge for weighing is interfered with external vibration, for example, a truck drives through the weighing system with a turned-on engine. Our research presents the use of the LMS algorithm of the adaptive filter and accelerometer. DC constant was used as a reference for the adaptive filter to eliminate vibratory noise and for the true weight assessment. Therefore, the weighing system we propose can improve the accuracy and requires less time and computing resources.

References

R. Zhang, W. Lv and Y. Guo, “A Vehicle Weigh-In-Motion System Based on Hopfield Neural Network Adaptive filter,” Conference on Communications and Mobile Computing, pp.123-127, 2015.

Dhanesh and L. Mathew, “Design of an Adaptive LMS Second Order Volterra Series Filter for Removing Noise from Vibration Signal of Faulty Bearing,” Communication and Information, pp.1-5, 2017.

Q.M. Yang and J.M. Sun, “Study on vibration control based on adaptive filtering algorithm,” Mechatronics and Automation, pp.4018-4022, 2009.

A. Rafique and S.S. Ahmed, “Performance Analysis of a Series of Adaptive Filters in Non-Stationary Environment for Noise Cancelling Setup,” World Academy of Science, Engineering and Technology, No.74, p.332, 2013.

M. Sambur, “Adaptive noise canceling for speech signals,” Transactions on Acoustics Speech and Signal Processing, Vol.26, pp.419-423, 1978.

B. Widrow, S.D. Stearns and J.C. Burgess, “Adaptive signal processing edited by bernard widrow and samuel d.stearns,” The Journal of the Acoustical Society of America, 1986.

W. Hernández, “Improving the response of a wheel speed sensor using an adaptive line enhancer,” Measurement, Vol.33, pp.229-240, 2003.

J.D. Wu and S.L. Lin, “Audio Quality Improvement of Vehicular Hands-Free Communication Using Variable Step-Size Affine-Projection Algorithm,” International Journal of Wavelets Multiresolution and Information Processing, Vol.8, pp.875-894, 2010.

C. Chandrakar and M.K. Kowar, “Denoising ECG signals using adaptive filter algorithm,” International Journal of Soft Computing and Engineering, Vol.2, pp.120-123, 2012.

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Published

2021-03-03

How to Cite

[1]
N. . Moonthongnoi, S. Boonjun, P. Wardkein, and A. Manosueb, “Vibration Noise Cancellation of Weighing with Adaptive Filter Base on Reference Signal AC from Accelerometer and DC with Constant”, Eng. & Technol. Horiz., vol. 38, no. 1, pp. 15–22, Mar. 2021.

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Section

Research Articles