| 基于支持向量机和信息融合的整机振动状态监视与诊断 |
| |
| 引用本文： | 韩磊,洪杰,苗学问.基于支持向量机和信息融合的整机振动状态监视与诊断[J].航空发动机,2010,36(4):32-36. |
| |
| 作者姓名： | 韩磊 洪杰 苗学问 |
| |
| 作者单位： | 1. 北京航空航天大学,能源与动力工程学院,北京,100191
2. 空军装备研究院,总体论证研究所,北京,100076 |
| |
| 摘 要： | 将信息融合和支持向量机等智能诊断技术应用于整机振动状态监视与故障诊断领域。采用航空发动机振动信号作为诊断模型的训练样本,使支持向量机能够反映特征向量和故障类型的映射关系,从而成功地诊断了某型发动机的振动故障模式。
|
| 关 键 词： | 航空发动机 振动 故障诊断 支持向量机 信息融合 |
The Monitoring and Diagnosis of Aeroengine Vibration Based on the Support Vector Machine and Information Fusion |
| |
| Authors: | HAN Lei HONG Jie MIAO Xue-wen |
| |
| Institution: | 1.School of Jet Propulsion, Beihang University, Beijing 100191; 2.Air Force Equipment Academy, Beijing 100076) |
| |
| Abstract: | The intelligent diagnosis technology such as information fusion and support vector machine was applied in the aeroengine vibration monitoring and fault diagnosis. Taking the vibration signal as the training samples of the diagnosis model, the mapping relationship between the characteristic vector and fault type can be related by the support vector machine. The vibration fault mode of an aeroengine was successfully diagnosed. |
| |
| Keywords: | areoengine vibration fault diagnosis support vector machine information fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《航空发动机》浏览原始摘要信息 |
| 点击此处可从《航空发动机》下载免费的PDF全文 |
