Filter IIR (Butterworth) and ICA for Identifying Silent Chain’s Sound Characteristics

Rika Novita Wardhani, David Putra Yohast, Iqro Sari Tilawah

2019

Abstract

X Company as a silent chain manufacturer has a problem identifying the silent chain’s sound characteristics for comparison among other products. Sound characteristics of the silent chain consist of amplitude, frequency, and sound pressure level (SPL). To attain sound characteristics, a filter that can separate the silent chain’s audio among other components is needed. Two options that sprout are Butterworth Filter and also ICA. The design of the Butterworth filter is based on identifying the pulse transfer function H(z) that satisfies the requirements of the filter specification. ICA uses mathematical and statistical approaches to decompose components in the observed data set. Singular Value Decomposition (SVD) model used in ICA. In application, sound sources attained from test rig which is consists of a silent chain set (gear, silent chain, and a DC motor). The filter program will be made in Matlab software with a time-domain plot and spectrogram as the outputs. ICA and Butterworth filter can separate silent chain audio. Silent chain’s frequencies were ranged from 7000-14000 Hz, and the motor’s frequencies are ranged from 0-1000 Hz. As a comparison, the Butterworth filter can work better than ICA because it can minimize noise frequency cleaner and the silent chain's frequency more visible.

Paper Citation

in Harvard Style

Wardhani R., Yohast D. and Tilawah I. (2019). Filter IIR (Butterworth) and ICA for Identifying Silent Chain’s Sound Characteristics. In Proceedings of the 8th Annual Southeast Asian International Seminar - Volume 1: ASAIS, ISBN 978-989-758-468-8, pages 114-119. DOI: 10.5220/0009906800002905

in Bibtex Style

@conference{asais19,
author={Rika Novita Wardhani and David Putra Yohast and Iqro Sari Tilawah},
title={Filter IIR (Butterworth) and ICA for Identifying Silent Chain’s Sound Characteristics},
booktitle={Proceedings of the 8th Annual Southeast Asian International Seminar - Volume 1: ASAIS,},
year={2019},
pages={114-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009906800002905},
isbn={978-989-758-468-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th Annual Southeast Asian International Seminar - Volume 1: ASAIS,
TI - Filter IIR (Butterworth) and ICA for Identifying Silent Chain’s Sound Characteristics
SN - 978-989-758-468-8
AU - Wardhani R.
AU - Yohast D.
AU - Tilawah I.
PY - 2019
SP - 114
EP - 119
DO - 10.5220/0009906800002905