Diagnosis method for rotor fault of induced draft fan based on improved SSD-Teager time-frequency analysis

被引：0

作者：

Tang G. ^{[1
]}

Sun J. ^{[1
,2
]}

Wang X. ^{[1
]}

Wu X. ^{[2
]}

Zhou F. ^{[1
]}

Cui Y. ^{[2
]}

Wu T. ^{[2
]}

Xu J. ^{[2
]}

机构：

[1] Hebei Key Laboratory of Electric Machinery Health Maintenance & Failure Prevention, Department of Mechanical Engineering, North China Electric Power University, Baoding

[2] Institute of Thermal Power Technology, China Datang Corporation Science and Technology Research Institute, Beijing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Fault diagnosis; Improved SSD; Induced draft fan rotor; Teager time-frequency analysis;

D O I：

10.16081/j.epae.202112020

中图分类号：

学科分类号：

摘要：

In order to adaptively determine the singular spectrum component number during signal processing of SSD（Singular Spectrum Decomposition）, and realize the automatic signal decomposition processing, the iteration stop condition of SSD is improved by fusing the mutual information criterion. Then, combined with the excellent time-frequency resolution capability and the signal feature tracking trait of Teager energy operator demodulation, the induced draft fan rotor fault diagnosis method based on improved SSD-Teager time frequency analysis is proposed. The ability for processing multi-component signal with noise of the proposed method is verified by the simulation signal analysis, and the practicability of the proposed method is also verified by the field measured vibration signal of the rotor induced draft fan misalignment fault. The results show that the proposed method can accurately present the whole time-frequency characteristics of the signal, and the analysis effect is much better than the traditional Hilbert-Huang transform method. © 2022, Electric Power Automation Equipment Press. All right reserved.

引用

页码：121 / 127and167

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