低航速下舰船声学故障检测方法研究  

Research on method of war craft acoustic fault detection in slow velocity state

作　　者：卢丁丁[1] 何琳[1] 章林柯[1] 

机构地区：[1]海军工程大学振动与噪声研究所,湖北武汉430033

出　　处：《舰船科学技术》2010年第3期58-60,共3页Ship Science and Technology

基　　金：小样本条件下潜艇机械噪声源识别研究(50775218)

摘　　要：舰船在低速航行时,机械振动引起的结构噪声往往成为舰船的主要噪声源,声学故障检测问题可转化为机械设备振动状态监测问题。本文建立了基于PCA的测点级声学故障检测模型,并利用模型试验对检测模型进行了验证和评估。结果表明,通过对SPE和T2统计量的监测,检测模型可以很好地检测出所模拟的故障,验证了文中声学故障检测方法的可行性。When war craft is in the slow velocity state,structural noise caused by mechanical vibration will often be the main noise source,and the problem of acoustic fault detection（AFD）can be transformed to the problem of machine vibration state monitoring. To solve the problem,an AFD model by a single transducer at various pick up locations is presented in this paper,using Principal Component Analysis（PCA）method. The detection model was validated and evaluated by a tank experiment. The experiment results show that the PCA-AFD model can well detect the simulated fault through tracking of the T2 and SPE statistical variables,and validate the feasibility of the AFD method.

关 键 词：低速航行 声学故障 主元分析 状态监测 

分 类 号：TB561[交通运输工程—水声工程]