ACS Applied Computer Science

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MATCHING PURSUIT ALGORITHM IN ASSESSING THE STATE OF ROLLING BEARINGS

In this paper the results of Matching Pursuit (MP) Octave algorithm applied to noise, vibration and harness (NVH) diagnosis of rolling bearings are presented. For this purpose two bearings in different condition state were examined. The object of the analysis was to calculate and present which energy error values of MP algorithm give the most accuracy results for different changes in bearing structures and also how energy values spread in time-frequency domain for chosen energy error value.
  • APA 6th style
Jonak, K., & Krukow, P. (2017). Matching Pursuit algorithm in assessing the state of rolling bearings. Applied Computer Science, 13(2), 61-71. doi:10.23743/acs-2017-14
  • Chicago style
Jonak, Kamil, and Paweł Krukow. "Matching Pursuit Algorithm in Assessing the State of Rolling Bearings." Applied Computer Science 13, no. 2 (2017): 61-71.
  • IEEE style
K. Jonak and P. Krukow, "Matching Pursuit algorithm in assessing the state of rolling bearings," Applied Computer Science, vol. 13, no. 2, pp. 61-71, 2017.
  • Vancouver style
Jonak K, Krukow P. Matching Pursuit algorithm in assessing the state of rolling bearings. Applied Computer Science. 2017;13(2):61-71.
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