叶片裂纹声音检测技术研究及应用  

Research and Application of Blade Faults from Vibrating Sound

作　　者：宋立辉[1] 姜兴渭[1] 张嘉钟[1] 

机构地区：[1]哈尔滨工业大学航天工程与力学系,哈尔滨150001

出　　处：《高技术通讯》2002年第7期72-76,共5页Chinese High Technology Letters

基　　金：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 。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.

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 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]