Order-component separation and ranking of dynamic signals using angular-information Kalman-filtering order tracking

Min Chun Pan, Yu Fong Lin

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents advanced order tracking techniques using the Kalman tracking filter with angular information to extract both close and cross order components from measured dynamic signals. Separated order components can be ranked for the purpose of trouble shooting and design modification. In the study, close-order components resulting from shaft unbalancing and gear meshing of a transmission- element test bench can be extracted precisely. In addition, for the pass-by noise measurement of CVT-driving electrical scooters, spectral components can be ranked appropriately for a further noise reduction task.

Original languageEnglish
Pages1509-1516
Number of pages8
DOIs
StatePublished - 2003
Event2003 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Chicago, IL, United States
Duration: 2 Sep 20036 Sep 2003

Conference

Conference2003 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Country/TerritoryUnited States
CityChicago, IL
Period2/09/036/09/03

Fingerprint

Dive into the research topics of 'Order-component separation and ranking of dynamic signals using angular-information Kalman-filtering order tracking'. Together they form a unique fingerprint.

Cite this