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基于声发射主轴机械密封开启状态识别技术
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中央高校基本科研业务费专项资金项目(SWJTU12CX039);国家重大科技成果转化项目.


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    摘要:

    针对机械密封端面开启状态确定和端面开启厚度测量困难这一问题,提出基于声发射信号端面开启状态监测技术。将电涡流传感器安装在密封装置静环上,将声发射传感器安装在静环座上,分别对动静环之间端面开启状态进行内部直接测量和外部间接检测。把采集的声发射信号运用小波阈值降噪法进行降噪处理后,提取典型的小波包能量特征。建立RBF神经网络模型,将提取的小波能量特征作为模型的输入,对机械密封端面开启状态进行识别。与电涡流传感器测量结果比对表明,声发射技术能够对机械密封开启状态进行准确的识别。利用声发射识别技术,实现了对主轴机械密封油膜开启状态由“内测”到“外测”的转变,便于工业现场应用和推广。

    Abstract:

    For the difficulty on the determination of open position and the measurement of end face thickness for mechanical seal, the method based on acoustic emission signal end face open condition monitoring technology for mechanical seal was proposed. The direct measurement in the internal of mechanical seal device was performed by fixing the electric eddy current sensor in the stator ring,and the indirect measurement in the outside was performed by fixing the acoustic emission sensor in the stator ring seat. The acoustic emission signals were de noised by wavelet threshold de noising method, and the representative energy features were selected by wavelet packet energy spectrum algorithm. The RBF neural network model was established, and by inputting the extracted wavelet energy features, the mechanical seal opening position was identified. The results were compared with the data detected by electric eddy current sensor, and the acoustic emission identification technology was confirmed to be accurate and effective. The acoustic emission technology can realize the identification of the mechanical seal opening position of main shaft from inside to outside, it is convenient to be used and promoted in industrial field.

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张尔卿,傅攀,吴希曦,张君凯.基于声发射主轴机械密封开启状态识别技术[J].润滑与密封,2014,39(4):67-73.
.[J]. Lubrication Engineering,2014,39(4):67-73.

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  • 在线发布日期: 2014-11-25
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