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De-convolution of time-series data using translational symmetry and eigenstate analysis

Conference Paper


Abstract


  • Translational Symmetry permits a time invariant matrix (a Ring Matrix) of a time series to be formed. Traditional Eigenvalue/vector and Fast Fourier Transform techniques applied to the Ring Matrix provide views of all the vibration modes, their magnitude and frequency content. The Ring Matrix has many interesting features associated with it that enable it to be used as an additional tool in defining the 'condition state' of a bearing. This paper introduces the Ring Matrix as a significant step in the 'Blind' de-convolution process. Application of the de-convolution method to vibration data obtained from both a large and small slow speed (1 to 4rpm) slew bearing is presented. The Ring Matrix is being applied to the condition monitoring of a bearing which forms part of an experimental test rig specifically built to monitor slow speed (1 rpm) slew bearings with a view to predicting their remaining useful life. Results, from a Coal Reclaimer which has slow speed (4rpm) slew bearings, are also presented to illustrate the various views of the vibration information.

Publication Date


  • 2007

Citation


  • Moodie, C., Tieu, A. K., & Biddle, S. (2007). De-convolution of time-series data using translational symmetry and eigenstate analysis. In 14th International Congress on Sound and Vibration 2007, ICSV 2007 Vol. 2 (pp. 1450-1457).

Scopus Eid


  • 2-s2.0-84881415496

Web Of Science Accession Number


Start Page


  • 1450

End Page


  • 1457

Volume


  • 2

Abstract


  • Translational Symmetry permits a time invariant matrix (a Ring Matrix) of a time series to be formed. Traditional Eigenvalue/vector and Fast Fourier Transform techniques applied to the Ring Matrix provide views of all the vibration modes, their magnitude and frequency content. The Ring Matrix has many interesting features associated with it that enable it to be used as an additional tool in defining the 'condition state' of a bearing. This paper introduces the Ring Matrix as a significant step in the 'Blind' de-convolution process. Application of the de-convolution method to vibration data obtained from both a large and small slow speed (1 to 4rpm) slew bearing is presented. The Ring Matrix is being applied to the condition monitoring of a bearing which forms part of an experimental test rig specifically built to monitor slow speed (1 rpm) slew bearings with a view to predicting their remaining useful life. Results, from a Coal Reclaimer which has slow speed (4rpm) slew bearings, are also presented to illustrate the various views of the vibration information.

Publication Date


  • 2007

Citation


  • Moodie, C., Tieu, A. K., & Biddle, S. (2007). De-convolution of time-series data using translational symmetry and eigenstate analysis. In 14th International Congress on Sound and Vibration 2007, ICSV 2007 Vol. 2 (pp. 1450-1457).

Scopus Eid


  • 2-s2.0-84881415496

Web Of Science Accession Number


Start Page


  • 1450

End Page


  • 1457

Volume


  • 2