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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 31, Number 11(2) (2019)
Copyright(C) MYU K.K.
pp. 3609-3618
S&M2035 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2508
Published: November 15, 2019

One-third Octave Bandpass Filter Algorithm of Overall Frequency-weighted Root Mean Square for Comfort Index Applied to Acceleration Sensor [PDF]

Yan Jin, Liao Jian-bin, and Yu Hong-liang

(Received May 31, 2019; Accepted September 25, 2019)

Keywords: acceleration, overall frequency-weighted RMS, one-third band octave

Concerning the evaluation of vibration with regard to ship habitability, for overall frequency-weighted root mean square (RMS) acceleration, the frequency-weighted function is deduced, which is expressed as the product of three factors (high-pass filter, low-pass filter, and pure weighting function), and the filter is designed based on this function. According to the frequency weighting curve from the standard, a low-order continuous-time filter is designed by the optimal least-square method. The one-third octave filter is proposed and the designed progress is given. The method is applied to ship test acceleration data, because accelerometers are the most frequently used transducers to measure the vibration responses of structures, and then the overall frequency-weighted RMS acceleration is achieved, which agrees well with the standard filter and low-order continuous-time filter results.

Corresponding author: Yu Hong-liang


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Cite this article
Yan Jin, Liao Jian-bin, and Yu Hong-liang, One-third Octave Bandpass Filter Algorithm of Overall Frequency-weighted Root Mean Square for Comfort Index Applied to Acceleration Sensor, Sens. Mater., Vol. 31, No. 11, 2019, p. 3609-3618.



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