DSP-base adaptive angular-velocity VKF order tracking for online real-time monitoring system

Ting Chi Yeh, Min Chun Pan, Cheng Yi Ho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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®, 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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1813-1819
Number of pages7
ISBN (Electronic)9781509014125
DOIs
StatePublished - 3 Aug 2017
Event26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom
Duration: 18 Jun 201721 Jun 2017

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference26th IEEE International Symposium on Industrial Electronics, ISIE 2017
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland
Period18/06/1721/06/17

Keywords

  • Adaptive Vold-Kalman filtering order tracking
  • Online real-time monitoring
  • Rotary machinery

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