Review of noise reduction methods of vibration signal for wind turbine bearings fault analysis. Issue 1 (January 2021)

• Record Type: Journal Article
• Authors: Bing, Liu; Baixin, Liu; Sheng, Wang; Huaping, Liu; Qianbin, Dai
• Is Part Of: IOP conference series. Volume 645:Issue 1(2021)
• Publication Date: 2021-01
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/645/1/012049
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Considering that the vibration signals of wind turbines are interfered with by low-frequency noise and background noise at the same time, it is difficult to extract the characteristic frequencies of early weak faults. The research on wind turbine bearing vibration noise reduction method to found that the potential failure symptom as early as possible for reducing the failure rate and reduce the operation maintenance cost reduction and to strengthen the reliable operation of the wind turbine is of great significance. Based on the analysis and summary of vibration signal characteristics of wind turbine bearing, the fault signal analysis, and noise reduction method of wind turbine bearing is introduced in detail.