摘要
潜艇在使用过程中,因设备产生的振动噪声异常可能使潜艇的声隐身性能恶化,从而显著增加在敌方水声威胁中的暴露率。利用多输入多输出(MIMO)模型获得潜艇机械噪声源对其水下噪声贡献比大小,通过分析噪声源贡献比时间序列是否异常,判断潜艇是否存在潜在声学故障。跟踪故障变化情况,调整噪声源贡献的计算时间间隔,同时根据贡献时间序列的变化趋势,线性预估发生故障的时间。最后通过试验验证该方法的可行性。
Abnormal vibration noise created by equipment during operation will degrade the acoustic stealth performance of submarine, and increase the possibility of the boat exposing to the underwater acoustic threat in hostile water field. This paper aims to obtain a rate of mechanical noise sources＂ contribution to the overall underwater noise of submarine via multi-input/multi-output （MIMO） model. In order to find out abnormal conditions of submarine, the time series of noise source＇s contribution rate were analyzed for determining the latent acoustic fault. Following the track of acoustic fault together with regulating the calculation interval of noise sources＂ contribution, the fault time would be linearly predicated according to the tendency of contribution time series. The feasibility of the proposed approach has been validated by an experimental model.
出处
《中国舰船研究》
2010年第3期18-21,共4页
Chinese Journal of Ship Research
基金
国家自然科学基金项目(50775218)
关键词
声学故障
预报
MIMO模型
贡献比
acoustic fault
prediction
MIMO model
contribution rate
