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机载电子系统设备的智能故障诊断系统设计
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作者 罗云林 罗红 《中国民航学院学报》 2004年第2期21-24,28,共5页
探讨了动态机载电子设备智能故障诊断系统建设的主要问题,设计了基于现代无线通信网络的智能故障预测诊断系统的总体结构及解决方案,对其中的关键技术进行了论述,尤其是无线通信协议、机载电子设备的故障预测模型及智能故障诊断专家系统... 探讨了动态机载电子设备智能故障诊断系统建设的主要问题,设计了基于现代无线通信网络的智能故障预测诊断系统的总体结构及解决方案,对其中的关键技术进行了论述,尤其是无线通信协议、机载电子设备的故障预测模型及智能故障诊断专家系统等,为该系统后期研发奠定了基础。 展开更多
关键词 智能故障预测 故障诊断 无线通信 神经网络卡尔曼滤波
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A Neural Network based Method for Detection of Weak Underwater Signals 被引量:1
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作者 潘俊阳 韩晶 杨士莪 《Journal of Marine Science and Application》 2010年第3期256-261,共6页
Detection of weak underwater signals is an area of general interest in marine engineering.A weak signal detection scheme was developed; it combined nonlinear dynamical reconstruction techniques, radial basis function ... Detection of weak underwater signals is an area of general interest in marine engineering.A weak signal detection scheme was developed; it combined nonlinear dynamical reconstruction techniques, radial basis function (RBF) neural networks and an extended Kalman filter (EKF).In this method chaos theory was used to model background noise.Noise was predicted by phase space reconstruction techniques and RBF neural networks in a synergistic manner.In the absence of a signal, prediction error stayed low and became relatively large when the input contained a signal.EKF was used to improve the convergence rate of the RBF neural network.Application of the scheme to different experimental data sets showed that the algorithm can detect signals hidden in strong noise even when the signal-to-noise ratio (SNR) is less than -40d B. 展开更多
关键词 detection theory underwater weak signal extended Kalman filter
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