@inproceedings{0ac5d178d5744a6897651e15e84aa440,
title = "Separation of acoustic signals on a compressor using FastICA",
abstract = "Separation of mixed signals has been extensively studied for telecommunications, health, damage analysis, and others. This research focuses on the separation of acoustic signals to support the analysis of engine conditions. The compressor engine is the object of this research. Mixed signals will be separated using FastICA. The acoustic signal from the compressor engine parts is mixed with synthetic mixing and real mixing. Separation results will be evaluated through LSD and SDR values. Two machines with normal bearing condition and bearing fault condition successfully separated well in synthetic mixing with the largest SIR value was 5.60dB and the smallest LSD was 0.510.",
keywords = "BSS, Compressor Faults, FastICA",
author = "Vinaya, {Anindita Adikaputri} and Sefri Yulianto and {Okta Arifianti}, {Qurrotin A.Yunina M.} and Dhany Arifianto and Aisjah, {Aulia Siti}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd International Conference on Applied Information Technology and Innovation, ICAITI 2019 ; Conference date: 21-09-2019 Through 22-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ICAITI48442.2019.8982161",
language = "English",
series = "Proceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation: Exploring the Future Technology of Applied Information Technology and Innovation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "56--59",
editor = "Humaira Humaira and Rahmat Hidayat and Alde Alanda and Yance Sonatha and Indri Rahmayuni",
booktitle = "Proceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation",
address = "United States",
}