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Application of encoder time series reconstruction and CYCBD in fault feature extraction of rolling bearing
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Xin-min YANG, Yu GUO, Xin CHEN, Jia-wei FAN
Journal of Vibration Engineering | 2024, 37(9) : 1616 - 1624
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Journal of Vibration Engineering | 2024, 37(9): 1616-1624
Application of encoder time series reconstruction and CYCBD in fault feature extraction of rolling bearing
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Xin-min YANG, Yu GUO, Xin CHEN, Jia-wei FAN
Affiliations
  • Faculty of Mechanical and Electrical Engineering，Kunming University of Science and Technology，Kunming 650500，China
Published: 2024-09-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.09.018
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Aiming at the problem that the effectiveness and computation cost of the maximum second-order cyclic stationarity blind deconvolution （CYCBD） algorithm are affected by parameter setting，the crest of the harmonics spectrum （HSC） was used as an evaluation index to determine the length of the CYCBD filter adaptively，and the calculation cost of the optimization process was balanced by the method of encoder time series reconstruction. The bearing fault order is calculated and the cycle frequency is set according to it. The pulse number of time series reconstruction is determined according to the fault order. The central difference method （CDM） is used to calculate the instantaneous angular speed （IAS） of the reconstructed signal. The filter length of CYCBD was adaptively selected with the HSC as the evaluation index using the equal-step search strategy. The spectrum corresponding to the maximum HSC is calculated to achieve fault feature extraction. The simulation and experimental data analysis results show that the proposed method can adaptively select the filter length，which has an obvious effect on reducing the cost of the CYCBD algorithm，and is effective for rolling bearing fault feature extraction.

fault diagnosis  /  rolling bearing  /  encoder  /  maximum second-order cyclostationarity blind deconvolution  /  crest ofharmonics spectrum
Xin-min YANG, Yu GUO, Xin CHEN, Jia-wei FAN. Application of encoder time series reconstruction and CYCBD in fault feature extraction of rolling bearing[J]. Journal of Vibration Engineering, 2024 , 37 (9) : 1616 -1624 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.09.018
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Year 2024 volume 37 Issue 9
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.09.018
  • Receive Date：2022-09-19
  • Online Date：2026-02-12
  • Published：2024-09-28
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  • Received：2022-09-19
  • Revised：2022-11-04
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    Faculty of Mechanical and Electrical Engineering，Kunming University of Science and Technology，Kunming 650500，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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