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Condition Recognition Study on Rolling Bearing for Reducer Based on VMD and SVM
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Li-qiang Zhang1, 3, Shao-jun Qin2, Bo Qin3, Shao-yong Zhao1
Rare Earth Steel | 2020, 46(1) : 63 - 66
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Rare Earth Steel | 2020, 46(1): 63-66
• Equipment and Automation •
Condition Recognition Study on Rolling Bearing for Reducer Based on VMD and SVM
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Li-qiang Zhang1, 3, Shao-jun Qin2, Bo Qin3, Shao-yong Zhao1
Affiliations
  • 1.Equipment Engineering Dept. of Inner Mongolia Baotou Steel Union Co., Ltd., Baotou 014010, Inner Mongolia Autonomous Region, China
  • 2.Zhenping Television Station, Zhenping 474250, Henan, China
  • 3.School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia Autonomous Region, China
Published: 2020-02-25 doi: 10.13647/j.cnki.btgkj.2020.01.018
Outline
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The characteristics of vibration signals for the rolling bearing of reducer of rolling mill in the bar work zone of Long Products Plant are non-linear and non-stationary so that the fault feature is difficult to be extracted. As a result, the classification of the SVM condition recognition model established based on this is with the problem of poor precision, so a method for condition recognition of rolling bearings based on VMD and SVM is proposed. The experimental and case analysis results showed that the fault feature information of rolling bearing could be accurately and effectively extracted to realize its condition recognition, which provides a new method for field application.

reducer  /  rolling bearing  /  variational mode decomposition  /  support vector machine  /  condition recognition
张利强, 秦绍军, 秦波, 赵少勇. 基于VMD和SVM的减速机滚动轴承状态辨识研究. 包钢科技, 2020 , 46 (1) : 63 -66 . DOI: 10.13647/j.cnki.btgkj.2020.01.018
Li-qiang Zhang, Shao-jun Qin, Bo Qin, Shao-yong Zhao. Condition Recognition Study on Rolling Bearing for Reducer Based on VMD and SVM[J]. Science & Technology of Baotou Steel, 2020 , 46 (1) : 63 -66 . DOI: 10.13647/j.cnki.btgkj.2020.01.018
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Year 2020 volume 46 Issue 1
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Article Info
doi: 10.13647/j.cnki.btgkj.2020.01.018
  • Receive Date：2019-05-10
  • Online Date：2026-10-20
  • Published：2020-02-25
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  • Received：2019-05-10
Funding
Affiliations
    1.Equipment Engineering Dept. of Inner Mongolia Baotou Steel Union Co., Ltd., Baotou 014010, Inner Mongolia Autonomous Region, China
    2.Zhenping Television Station, Zhenping 474250, Henan, China
    3.School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia Autonomous Region, 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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