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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ovacikli, A.K. Paajarvi, P. LeBlanc, J.P. |
| Copyright Year | 2013 |
| Description | Author affiliation: Rubico Vibration Anal. AB, Luleå, Sweden (Ovacikli, A.K.; Paajarvi, P.; LeBlanc, J.P.) |
| Abstract | The scale invariant third order moment, skewness, is analysed as an objective function to an adaptive gradient ascent algorithm. The purpose is to achieve a spectrum at the filter output that can enable identification of possible bearing defect signatures which are impulsive and periodic. Harmonically related sinusoids are used to represent such signatures and to build a signal model allowing characterization of the objective surface of skewness, providing insight to its convergent behaviour. The results are supported with an experiment from an industry setting. Robustness of the proposed algorithm is demonstrated by examining the frequency spectrum resulting from the signal model. |
| Starting Page | 462 |
| Ending Page | 466 |
| File Size | 570935 |
| Page Count | 5 |
| File Format | |
| ISBN | 9789531841948 |
| DOI | 10.1109/ISPA.2013.6703785 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-04 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | University of Trieste and University of Zagreb |
| Subject Keyword | Signal processing Vibrations Deconvolution Rolling bearings Transfer functions Linear programming Vectors |
| Content Type | Text |
| Resource Type | Article |
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