Version 1
: Received: 3 September 2018 / Approved: 3 September 2018 / Online: 3 September 2018 (15:02:45 CEST)
How to cite:
Yeh, T.-C.; Pan, M.-C.; Le, D. D. Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking. Preprints2018, 2018090043. https://doi.org/10.20944/preprints201809.0043.v1
Yeh, T.-C.; Pan, M.-C.; Le, D. D. Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking. Preprints 2018, 2018090043. https://doi.org/10.20944/preprints201809.0043.v1
Yeh, T.-C.; Pan, M.-C.; Le, D. D. Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking. Preprints2018, 2018090043. https://doi.org/10.20944/preprints201809.0043.v1
APA Style
Yeh, T. C., Pan, M. C., & Le, D. D. (2018). Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking. Preprints. https://doi.org/10.20944/preprints201809.0043.v1
Chicago/Turabian Style
Yeh, T., Min-Chun Pan and Duc Do Le. 2018 "Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking" Preprints. https://doi.org/10.20944/preprints201809.0043.v1
Abstract
When a rotary machine is running, from which the acquired vibro-acoustic signals enable to reveal its operation status and health condition. The study proposed a DSP-based adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm with an online real-time nature for signal interpretation and machine condition monitoring. Theoretical derivation and numerical implementation of computation schemes are briefly introduced. An online real-time monitoring system based on the AV2KF_OT algorithm, which was implemented through both a digital signal processor and a user interface coded by using LabVIEW, was developed. Two experimental tasks were applied to justify the proposed technique, including (i) the detection of startup on the fluid-induced whirl performed through a journal-bearing rotor rig, and (ii) the separation of close orders from the measured signals of a multifunction transmission-element ball-bearing bench.
Keywords
rotary machinery; adaptive order tracking; online real-time monitoring.
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.