Publication detail

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

ČALA, M. BENEŠ, P.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Vold-Kalman filter; order tracking; sparse matrices

Authors

ČALA, M.; BENEŠ, P.

Released

14. 7. 2016

Location

Athény

ISBN

978-960-99226-2-3

Book

Proceedings of the 23rd International Congress on Sound and Vibration

ISBN

NEUVEDENO

Pages from

1

Pages to

8

Pages count

8

URL

https://www.scribd.com/document/342875939/Implementation-of-the-Vold-kalman-Order-Tracking-Filters

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"
}