| 杨 磊,尚群立,雷文文.气动调节阀气室漏气类故障在线诊断研究[J].高技术通讯(中文),2023,33(5):550~558 |
| 气动调节阀气室漏气类故障在线诊断研究 |
| Research on online fault diagnosis of air leakage in pneumatic control valve |
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| DOI：10. 3772/ j. issn. 1002-0470. 2023. 05. 011 |
| 中文关键词: 气动调节阀; 小波分析; 气室漏气; 在线诊断 |
| 英文关键词: pneumatic control valve, wavelet analysis, air leak in air chamber, online diagnosis |
| 基金项目: |
| 作者 | 单位 | | 杨 磊 | (浙江工业大学信息工程学院 杭州310023) | | 尚群立 | (浙江工业大学信息工程学院 杭州310023) | | 雷文文 | (浙江工业大学信息工程学院 杭州310023) |
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| 中文摘要: |
| 工业生产过程中气动调节阀安装于生产现场,所处环境往往比较恶劣,零部件众多且机械动作频繁,易发生各种故障。针对气室漏气这类常见故障其信号具有非周期、非平稳的特点,提出一种基于小波分析的在线故障诊断方法,并研究在工艺参数闭环控制系统工作环境下该方法的有效性及对工况的普适性。仿真和实体阀实验表明,选取阀位响应信号作为特征信号,采用Db3 小波基对特征信号进行6 层分解,得到d6 特征细节参数,可实现对故障发生时间点的准确检测,并可对故障的严重程度进行分级。 |
| 英文摘要: |
| In the process of industrial production, the pneumatic control valve is installed at the production site, and the environment is often harsh with numerous parts and frequent mechanical actions, which are prone to various failures.Aiming at common faults such as air leakage in the air chamber, whose signal is non-periodic and non-stationary,an online fault diagnosis method based on wavelet analysis is proposed. Research on the effectiveness of the method and its general applicability to working conditions under the working environment of the closed-loop control system of process parameters is conducted. The valve position response signal is selected as the characteristic signal, and the Db3 wavelet basis is used to decompose the characteristic signal in 6 layers to obtain the d6 characteristic detail parameters. Simulation and physical valve experiments show that the proposed method can realize the accurate detection of the time point of the fault, and the severity of the fault can be classified. |
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