| 叶片裂纹声音检测技术研究及应用 |
| |
| 引用本文： | 宋立辉,姜兴渭,张嘉钟.叶片裂纹声音检测技术研究及应用[J].高技术通讯,2002,12(7):72-76. |
| |
| 作者姓名： | 宋立辉 姜兴渭 张嘉钟 |
| |
| 作者单位： | 哈尔滨工业大学航天工程与力学系,哈尔滨,150001 |
| |
| 基金项目： | 86 3计划 ( 86 3 2 4 8 1)资助项目 |
| |
| 摘 要： | 提出了对称补偿降噪以及利用希尔伯特变换方法进行降噪和特征信号提取,将噪声信号按对称条件分解,然后利用对称点的信号统计特性相同的特点进行补偿降噪,从而提高了信噪比和系统实时响应能力,克服了监测的非即时性和气流噪声非零均值分布及波动信号对信号提取的干扰。
|
| 关 键 词： | 叶片 信噪比 旋转机械 故障诊断 汽轮机 裂纹检测 振动声音 |
Research and Application of Blade Faults from Vibrating Sound |
| |
| Song Lihui,Jiang Xingwei,Zhang Jiazhong.Research and Application of Blade Faults from Vibrating Sound[J].High Technology Letters,2002,12(7):72-76. |
| |
| Authors: | Song Lihui Jiang Xingwei Zhang Jiazhong |
| |
| Abstract: | An improved monitoring method is proposed. "Reducing noise with symmetry decomposition" is used to reduce noise and Hilbert transformation is used to extract characteristic signals. In this method, the noise signal is decomposed in symmetry conditions and the noise with decomposition is reduced by means of the similar features of the statistic parameters of the sound field in symmetry positions. This method improves the signal ton oise ratio and response ability, overcomes the influence caused by load waving and nonzero distribution on the data processing. |
| |
| Keywords: | Blade Signal noise ratio Rotating machine Fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
