应用故障特征指标相对比值的低转速下编码器信号太阳轮故障特征提取

李震焘; 郭瑜; 尹兴超; 华健翔

doi:10.13433/j.cnki.1003-8728.20220064

应用故障特征指标相对比值的低转速下编码器信号太阳轮故障特征提取

doi: 10.13433/j.cnki.1003-8728.20220064

昆明理工大学机电工程学院, 昆明 650504

基金项目:

国家自然科学基金项目 52165067

云南省重点领域科技计划项目 202002AC080001

详细信息

作者简介:
李震焘(1994-), 硕士研究生, 研究方向为旋转机械故障特征提取, chlz759@163.com

通讯作者:
郭瑜, 教授, 博士生导师, kmgary@163.com

中图分类号: TH17;TH132.425
计量
- 文章访问数: 138
- HTML全文浏览量: 53
- PDF下载量: 13
- 被引次数: 0
出版历程
- 收稿日期: 2021-07-19
- 刊出日期: 2023-07-25

Encoder Signal Feature Extraction of Sun Gear Fault at Low Speed Using Relative Ratio of Fault Feature Index

Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China

摘要

摘要: 针对低转速下太阳轮齿根裂纹故障编码器信号特征阶次提取困难的问题，本文提出了一种基于故障特征指标相对比值的特征提取检测方法。首先，将获得的编码器信号通过向前差分处理成瞬时角速度(IAS)信号，按照1/3-二叉树对得到的IAS信号进行子频带划分；其次，对各窄带信号进行包络分析，分别求取正常和故障状态下的IAS信号各子频带的谐波显著性指标(HSI)，由此可计算得到其相对比值r；再次，利用r值选取包含故障信息丰富的频带；最后，对处理后的信号在选择的子频带处进行带通滤波，并在提取包络后进行谱分析，提取故障特征。对太阳轮齿根裂纹故障的实测编码器信号进行分析，验证了该方法能有效提取太阳轮故障的特征。
- 低转速 /
- 齿根裂纹 /
- 编码器信号 /
- 瞬时角速度 /
- 特征指标相对比值
Abstract: Aiming at the difficulty of extracting the encoder signal feature order of the sun gear with root crack at low speed, a feature extraction detection method is proposed based on the difference of the fault feature index in this paper. First, the obtained encoder signal is processed into an instantaneous angular speed(IAS)signal through forward difference, and the obtained IAS signal is divided into subbands according to the 1/3-binary tree. Then, the envelope analysis of each narrowband signal is carried out, and the harmonic significance index(HSI)of each subband of IAS signal in normal and fault states is obtained respectively, from which the relative ratio r can be calculated. And, the value of r is used to select the frequency band with rich fault information. Finally, the processed signal is filtered in the selected frequency band, and the spectrum analysis is performed after the envelope is extracted to extract the fault features. The analysis of the measured encoder signal of the sun gear with root crack fault shows that the method can effectively extract the features of the sun gear faults.
- low speed /
- root crack /
- encoder signal /
- instantaneous angular speed /
- relative ratio of feature index

HTML全文

图 1 故障特征提取流程图

Figure 1. Fault feature extraction process flowchart

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图 2 行星齿轮箱故障诊断综合实验台

Figure 2. Comprehensive experimental platform for planetary gearbox fault diagnosis

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图 3 太阳轮齿根裂纹

Figure 3. Sun gear tooth root crack

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图 4 正常状态下的原始IAS信号

Figure 4. The original IAS signal under normal conditions

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图 5 故障状态下的原始IAS信号

Figure 5. The original IAS signal under a fault condition

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图 6 HSI的颜色映射图

Figure 6. Color mapping of HSI

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图 7 故障状态下的滤波信号包络阶比谱(HSI指标)

Figure 7. Envelope order spectrum of filtered signals under a fault condition(HSI metrics)

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图 8 正常状态下的滤波信号包络阶比谱(HSI指标)

Figure 8. Envelope order spectrum of filtered signals under normal conditions(HSI metrics)

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图 9 相对比值r的颜色映射图

Figure 9. Color mapping of relative ratio value r

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图 10 故障状态下的滤波信号包络阶比谱(本文方法)

Figure 10. Envelope order spectrum of filtered signals under a fault condition(The method in this paper)

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图 11 正常状态下的滤波信号包络阶比谱(本文方法)

Figure 11. Envelope order spectrum of filtered signals under normal conditions(The method in this paper)

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表 1 行星齿轮箱参数

Table 1. Planetary gearbox parameters

名称	行星轮	太阳轮	齿圈
齿数	31	21	84
变位系数	0.1	0.18	0.12

下载: 导出CSV

表 2 行星齿轮箱特征阶次

Table 2. Planetary gearbox feature orders

齿轮啮合阶次O_m	太阳轮转频阶次O_s	太阳轮故障阶次O_s^r	行星架转频阶次O_c
84×	5×	4×	1×

下载: 导出CSV

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