Explicit Dynamics Driving Fault Diagnosis Method for Bearing Variable Conditions

doi:10.3969/j.issn.1004-132X.2023.08.013

Abstract

Abstract: In practical engineering applications， rotating machines were usually in variable conditions， and the feature distribution of samples in different conditions was differentiated， which limited the application scope of fault diagnosis models. In order to solve the problem of inconsistent feature distribution under variable conditions， a method of bearing failure diagnosis of variable conditions under explicit dynamics was proposed. Firstly， the finite element method was used to simulate sample of multiple conditions and multiple fault types， and the simulation projection matrix under different fault types were obtained by NAP. Secondly， the complex working condition nuisance information of the measured signal feature samples were eliminated simultaneously by simulation projection matrix. Finally， the bearing fault diagnosis was performed based on support vector machine. The proposed method was validated by two sets of variable condition bearing data sets. The test results show that the simulation projection matrix may effectively eliminate the nuisance condition information， and the accuracy of fault diagnosis after projection reach 100%.

Key words: rolling bearing, finite element analysis, nuisance attribute projection（NAP）, fault diagnosis

摘要： 实际工程应用中，旋转机械通常处于变工况状态，不同工况样本特征分布的差异限制了故障诊断模型的应用范围。为解决变工况下特征分布不一致的问题，提出了显式动力学驱动的轴承变工况故障诊断方法。首先，采用有限元法仿真多工况、多故障类型的样本，通过冗余属性投影得到不同故障类型下的仿真投影矩阵；然后，利用仿真投影矩阵同步消除实测信号特征样本的复杂工况冗余信息；最后，结合支持向量机进行轴承变工况的故障诊断。通过两组变工况轴承数据集对所提方法进行验证，验证结果表明，仿真投影矩阵有效消除了冗余工况信息，投影后的故障诊断准确率达到100%。

关键词: 滚动轴承, 有限元分析, 冗余属性投影, 故障诊断

CLC Number:

TH133.3

ZHANG Long, ZHANG Hao, WANG Chaobing, WANG Xiaobo, WEN Peitian, ZHAO Lijuan. Explicit Dynamics Driving Fault Diagnosis Method for Bearing Variable Conditions[J]. China Mechanical Engineering, 2023, 34(08): 982-992.

张龙, 张号, 王朝兵, 王晓博, 文培田, 赵丽娟. 显式动力学驱动的轴承变工况故障诊断方法[J]. 中国机械工程, 2023, 34(08): 982-992.

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