@inproceedings{69038316c5b242d1b8705140b15f889d,
title = "DSP-base adaptive angular-velocity VKF order tracking for online real-time monitoring system",
abstract = "Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies were integer or fractional integer multiples of the reference shaft speed. When the rotary machines are running, acousto-mechanical signals acquired from the machines enable to reveal their operation status and machine conditions. The study proposed a DSP-based adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF-OT) algorithm with online real-time nature for signal interpretation and machine condition monitoring. Theoretical derivation and numerical implementation of the computation scheme was briefly introduced. An online real-time condition monitoring system based on the AV2KF-OT algorithm, which was implemented through both a digital signal processor (DSP) and a man-machine interface coded by using LabVIEW{\textregistered}, was developed. An experimental task, the startup detection on the fluid-induced whirl performed through a journal-bearing rotor rig, was used to justify the proposed technique.",
keywords = "Adaptive Vold-Kalman filtering order tracking, Online real-time monitoring, Rotary machinery",
author = "Yeh, {Ting Chi} and Pan, {Min Chun} and Ho, {Cheng Yi}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 26th IEEE International Symposium on Industrial Electronics, ISIE 2017 ; Conference date: 18-06-2017 Through 21-06-2017",
year = "2017",
month = aug,
day = "3",
doi = "10.1109/ISIE.2017.8001524",
language = "???core.languages.en_GB???",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1813--1819",
booktitle = "Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017",
}