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题名: 传感器信号特征提取和故障诊断研究
其他题名: Research of Feature Extraction and Fault Diagnosis for Sensor Signal
作者: 单玉刚 ; 胡卫国 ; 王宏 ; 袁杰
作者部门: 工业控制网络与系统研究室
会议名称: 2012 31th Chinese Control Conference
会议日期: July 25-27, 2012
会议地点: Hefei, China
会议主办者: Technical Committee on Control Theory,Chinese Association of Automation
会议录: Proceedings of the 31st Chinese Control Conference
会议录出版者: Chinese Association of Automation
会议录出版地: Beijing
出版日期: 2012
页码: 5412-5417
收录类别: EI
关键词: 核fisher ; DAGSVM ; 传感器故障 ; 模极大值
摘要: 提出一种综合的传感器信号特征提取和故障诊断方法。利用小波包三层分解传感器信号提取各个频带的能量以及信号的模极大值构成初始特征,使用核Fisher方法将原始特征空间映射到高维特征空间,增强了样本可分性。采用可分性判别准则组织多个两分类支持向量机(SVM),构成优化的有向无环图支持向量机(DAGSVM)多分类器判别传感器状态。将该方法应用到FDT/DTM(Field device tool/device type manager)设备管理系统中,对NCS4000水循环控制系统的压力传感器进行故障诊断,数值实验表明该算法具有实效性。
英文摘要: The paper presents an integrated approach of feature extraction and fault diagnosis of sensor.Taking the sensor signal energies and modulus maxima of wavelet packet decomposition in three bands as initial features,valid features are extracted according to kernel fisher transform of initial feature vector,enhancing the signal characteristics.In accordance with inter-class separability a set of binary SVM classifiers are combined to construct optimal Decision Directed Acyclic Graph. The approach is applied to...
语种: 中文
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10248
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
单玉刚; 胡卫国; 王宏; 袁杰.传感器信号特征提取和故障诊断研究.见:Chinese Association of Automation .Proceedings of the 31st Chinese Control Conference ,Beijing,2012,5412-5417
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