Detail publikace

Implementation of the Vold-Kalman Order Tracking Filters for Online Analysis

ČALA, M. BENEŠ, P.

Originální název

Implementation of the Vold-Kalman Order Tracking Filters for Online Analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The article presents the implementation of the Vold-Kalman order tracking filters of both first and second generation. The introduction examines the principle of both filters with the necessary theoretical background needed to run the filter in the online manner. Attention is also focused on the calculation optimizations in the Cholesky decomposition and preconditioned conjugate gradients methods as well as an effective storage of large sparse matrices. The algorithms are implemented in the LabVIEW environment. Feasibility of the presented implementation is verified by the timing benchmarks, results of the order tracking using synthetic signals and additionally the practical experiment on a common cooling fan with the ball bearing.

Klíčová slova

Vold-Kalman filter; order tracking; sparse matrices

Autoři

ČALA, M.; BENEŠ, P.

Vydáno

14. 7. 2016

Místo

Athény

ISBN

978-960-99226-2-3

Kniha

Proceedings of the 23rd International Congress on Sound and Vibration

ISSN

NEUVEDENO

Strany od

1

Strany do

8

Strany počet

8

URL

BibTex

@inproceedings{BUT126983,
  author="Martin {Čala} and Petr {Beneš}",
  title="Implementation of the Vold-Kalman Order Tracking Filters for Online Analysis",
  booktitle="Proceedings of the 23rd International Congress on Sound and Vibration",
  year="2016",
  pages="1--8",
  address="Athény",
  isbn="978-960-99226-2-3",
  url="https://www.scribd.com/document/342875939/Implementation-of-the-Vold-kalman-Order-Tracking-Filters"
}