基于噪声分析的调节阀故障检测方法研究
A Fault Detection Method for Control Valve Based on Noise Analysis
查看参考文献15篇
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文摘
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针对调节阀的在线故障检测问题,文中提出了一种基于噪声分析的故障检测方法。该方法首先利用小波分解技术提取过程信号的噪声;然后,通过数字滤波减少干扰信号;最后,从统计角度出发,计算过程噪声的统计数字特征(自相关函数)来检测故障是否发生。仿真结果表明:该方法可以检测出气动调节阀的阀门堵塞故障,同时验证了该方法的可行性与有效性。 |
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其他语种文摘
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In order to solve the problem of on-line fault detection of the control valve, a fault detection method based on noise analysis was proposed in this paper. First, the wavelet decomposition technique was used to extract the noise of the process signal. Then, the interference signal was reduced by digital filtering. Finally, from the statistical point of view, the statistical characteristic of the process noise (autocorrelation function) was calculated to detect whether the fault occurred. The simulation results show that the method can be used to detect the valve clogging fault of the pneumatic control valve and the feasibility and effectiveness of the method are verified. |
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来源
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仪表技术与传感器
,2018(11):128-131,136 【扩展库】
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关键词
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调节阀
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故障检测
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噪声分析
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小波分解
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自相关函数
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地址
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1.
中国科学院沈阳自动化研究所, 辽宁, 沈阳, 110016
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中国科学院大学, 北京, 100049
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西安大略大学, 安大略, 伦敦, N6A 5B9
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1002-1841 |
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学科
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自动化技术、计算机技术 |
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文献收藏号
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CSCD:6416493
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