Compound Fault Feature Extraction of Wind Power Gearbox Based on DRS and Improved Autogram

doi:10.11930/j.issn.1004-9649.202303124

Abstract

Abstract:

Compound fault feature extraction is the key to analyzing the root cause of wind power gearbox faults. A compound fault feature extraction method based on DRS and improved Autogram is proposed. Based on the DRS method, the influence of the periodic components of vibration signals on the weak fault components is reduced. A new feature quantification index of spectral kurtosis and spectral negative entropy is designed to comprehensively evaluate the narrow-band components after maximum overlapping discrete wavelet packet transform and unbiased autocorrelation processing, so as to select the optimal filtering frequency band and accurately identify the signal components containing compound fault features. The method in this paper is applied to the compound fault diagnosis of wind power gearbox and bearing, which can effectively extract multiple fault features from vibration signals and has a good diagnostic effect.

Key words: wind turbine, compound fault, discrete random separation, fault diagnosis, feature extraction

Haifei MA, Wei TENG, Dikang PENG, Yibing LIU, Tao JIN. Compound Fault Feature Extraction of Wind Power Gearbox Based on DRS and Improved Autogram[J]. Electric Power, 2023, 56(10): 71-79.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202303124

https://www.electricpower.com.cn/EN/Y2023/V56/I10/71

Figures/Tables 11

Fig.1 Principle of short time vibration sequence construction

Fig.2 Flow chart of compound fault feature extraction for wind power gearbox

Table 1 Wind power gearbox information

部位	齿数	个数
行星级内齿圈	92	1
行星级行星轮	36	3
行星级太阳轮	20	1
一级平行轴低速齿轮	94	1
一级平行轴中速小齿轮	21	1
二级平行轴中速大齿轮	125	1
二级平行轴高速齿轮	92	1

Table 2 Rotating frequency and meshing frequency of shaft

转频	频率	阶次信息
输入轴	0.3	0.01005
低速轴	1.87	0.0627
中速轴	7.54	0.2528
高速轴	29.83	1

啮合频率	频率	阶次信息
行星级	34.4	1.1532
中速级	165.8	5.5582
高速级	716	24

Table 3 Fault feature frequency and corresponding order of high-speed shaft rear bearing

部位	故障特征频率/Hz	故障特征阶次
保持架	12.0	0.402
滚动体	74.3	2.490
外圈	168.5	5.650
内圈	249.0	8.340

Fig.3 Order analysis of angle domain signal

Fig.4 Combined squared envelope order spectrum based on DRS and improved Autogram

Fig.5 Enhanced squared envelope order spectrum based on DRS and improved Autogram

Fig.6 Combined squared envelope order spectrum based on DRS and Autogram

Fig.7 Enhanced squared envelope order spectrum based on DRS and Autogram

Fig.8 Gearbox disassembly result

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