| 电液伺服阀动态特征信息在线提取方法的研究 |
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| 引用本文： | 沈伟,许黎明,蔡露. 电液伺服阀动态特征信息在线提取方法的研究[J]. 机床与液压, 2011, 39(11). DOI: 10.3969/j.issn.1001-3881.2011.11.004 |
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| 作者姓名： | 沈伟 许黎明 蔡露 |
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| 作者单位： | 1. 上海交通大学机械与动力工程学院,上海,200030
2. 上海交通大学机械与动力工程学院,上海200030;上海交通大学机械系统与振动国家重点实验室,上海200030 |
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| 基金项目： | 机械系统与振动国家重点实验室开放基金资助项目(MSV-2009-16) |
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| 摘 要： | 电液伺服阀是电液伺服控制中的关键元件,其性能关系到整个伺服系统的控制精度和响应速度。当前,伺服阀的故障诊断仍以离线为主,缺乏在线诊断的有效手段。根据伺服阀的工作特性,提出一种反映伺服阀动态特征的状态信号选取方法;通过对伺服阀阀芯开口度进行时频联合分析,结合所选取的伺服阀特征参数,提取出反映伺服阀动态特征信息的特征向量;采用粗糙集理论对特征量进行约简以提高在线诊断效率。基于人工神经网络的伺服阀性能在线诊断的实验结果表明:所提取的特征向量能够准确反映伺服阀动态特征信息,有效判断伺服阀的异常状态,为电液伺服阀的在线故障诊断提供了参考。
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| 关 键 词： | 伺服阀 特征提取 在线诊断 时频分析 粗糙集 |
On-line Feature Extraction of Dynamic Information of Hydraulic Servo Valve |
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| SHEN Wei,XU Liming,CAI Lu. On-line Feature Extraction of Dynamic Information of Hydraulic Servo Valve[J]. Machine Tool & Hydraulics, 2011, 39(11). DOI: 10.3969/j.issn.1001-3881.2011.11.004 |
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| Authors: | SHEN Wei XU Liming CAI Lu |
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| Affiliation: | SHEN Wei1,XU Liming1,2,CAI Lu1(1.School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030,China,2.State Key Laboratory of Mechanical System and Vibration,China) |
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| Abstract: | Servo valve is one of the most important key components in hydraulic servo control systems.Its performance determines the system's control precision and response speed.Currently,fault diagnosis of servo valve is mainly based on off-line.A new method of selection of status signals was presented to describe the dynamic features of the valve based on the operating characteristics.The time-frequency analyses of opening degree of the valve core were made.The analysis results were combined with the other valve's ... |
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| Keywords: | Servo valve Feature extraction On-line diagnosis Time-frequency analysis Rough sets |
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