Using the correlation dimension for vibration fault diagnosis of rolling element bearings - II. Selection of experimental parameters

David B. Logan, Joseph Mathew

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Determination of the correlation dimension from experimental chaotic time series data involves two steps. First, reconstruction of the attractor using the time delay method from the raw time series, followed by computation of the correlation dimension from the phase space vectors. We demonstrate how this process has been performed experimentally on bearing vibration acceleration time series. The effects on the correlation dimension were noted as each of the relevant parameters was individually varied and the optimum values for each determined.

Original languageEnglish
Pages (from-to)251-264
Number of pages14
JournalMechanical Systems and Signal Processing
Volume10
Issue number3
DOIs
Publication statusPublished - 1 Jan 1996

Cite this

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abstract = "Determination of the correlation dimension from experimental chaotic time series data involves two steps. First, reconstruction of the attractor using the time delay method from the raw time series, followed by computation of the correlation dimension from the phase space vectors. We demonstrate how this process has been performed experimentally on bearing vibration acceleration time series. The effects on the correlation dimension were noted as each of the relevant parameters was individually varied and the optimum values for each determined.",
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Using the correlation dimension for vibration fault diagnosis of rolling element bearings - II. Selection of experimental parameters. / Logan, David B.; Mathew, Joseph.

In: Mechanical Systems and Signal Processing, Vol. 10, No. 3, 01.01.1996, p. 251-264.

Research output: Contribution to journalArticleResearchpeer-review

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