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低航速下舰船声学故障检测方法研究
引用本文:卢丁丁,何琳,章林柯.低航速下舰船声学故障检测方法研究[J].舰船科学技术,2010,32(3):58-60.
作者姓名:卢丁丁  何琳  章林柯
作者单位:海军工程大学,振动与噪声研究所,湖北,武汉,430033
基金项目: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。

关 键 词:低速航行  声学故障  主元分析  状态监测  

Research on method of war craft acoustic fault detection in slow velocity state
LU Ding-ding,HE Lin,ZHANG Lin-ke.Research on method of war craft acoustic fault detection in slow velocity state[J].Ship Science and Technology,2010,32(3):58-60.
Authors:LU Ding-ding  HE Lin  ZHANG Lin-ke
Institution:Institute of Vibration and Noise;Naval University of Engineering;Wuhan430033;China
Abstract: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...
Keywords:slow velocity state  acoustic fault  PCA  state monitoring  
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