@inproceedings{f47c244d7f144d16bdf3dfbfba95445b,
title = "Online real-time monitoring system through using adaptive angular-velocity VKF order tracking",
abstract = "When rotary machines are running, acousto-mechanical signals acquired from the machines are able to reveal their operation status and machine conditions. Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies are integer (or fractional integer) multiples of the reference shaft speed. In this study we built an online real-time machine condition monitoring system based on the adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KFOT) algorithm, which was implemented through a DSP chip module and a user interface coded by the LabVIEW{\textregistered}. This paper briefly introduces the theoretical derivation and numerical implementation of computation scheme. Experimental works justify the effectiveness of applying the developed online real-time condition monitoring system. They are the detection of startup on the fluid-induced instability, whirl, performed by using a journal-bearing rotor test rig.",
keywords = "Adaptive Vold-Kalman filtering order tracking, Online real-time monitoring, Rotary machinery",
author = "Yeh, {Ting Chi} and Pan, {Min Chun}",
year = "2012",
doi = "10.1115/DETC2012-70506",
language = "???core.languages.en_GB???",
isbn = "9780791845004",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
number = "PARTS A AND B",
pages = "159--163",
booktitle = "24th Conference on Mechanical Vibration and Noise",
edition = "PARTS A AND B",
note = "ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012 ; Conference date: 12-08-2012 Through 12-08-2012",
}