@inproceedings{07645e08c8994ab3a68bba5da1f88c75,
title = "Dalgacik ayri{\c s}imi {\.i}le t{\.i}tre{\c s}{\.i}m anal{\.i}z{\.i}ne dayali doǧalgazli su isitici {\.i}zleme s{\.i}stem{\.i}",
abstract = "In this paper, a wavelet application which aims to monitor a domestic natural gas boiler as a mechanical system is presented. In this predictive maintenance application, discrete-time wavelet decomposition is basically used to analyze the recorded vibration signal of the mechanical system. A low cost microphone is utilized to capture the vibrations. Then a Simulink model of the application is built. Thus, real-time observations become possible. This approach contributes developing intelligent gas boilers that observe their own situation.",
author = "Ramazan Yeni{\c c}eri and Serhat {\c S}eker",
year = "2012",
doi = "10.1109/SIU.2012.6204577",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}