基于同步提取变换与Vold-Kalman滤波的燃机阶次跟踪方法研究

针对管道、船舶、航空等行业使用的燃气轮机转速频繁变化,难以提取振动信号中目标阶次成分的问题,对燃机振动信号阶次跟踪方法进行了研究,提出了一种基于同步提取变换与Vold-Kalman滤波的燃气轮机振动阶次跟踪方法。首先,对振动加速度信号进行了积分,得到了转子工频成分明显的振动速度信号;然后,参考同步性较差的转速数据在振动速度信号中使用同步提取变换的方法,提取了瞬时频率,即同步精确的转子工频;将振动加速度或速度信号与转子工频作为输入,利用Vold-Kalman滤波阶次跟踪方法,提取了目标阶次成分的时域波形;最后,将该方法应用于实际燃机的振动数据分析中。研究结果表明:该方法能够准确、有效地提取出燃机目标阶次时域波形,可为振动状态监测及预警提供数据支撑。

DVL/RPM Based Velocity Filter Aiding in the Underwater Vehicle Integrated Inertial Navigation System

The purpose of this paper is to design a DVL-RPM based VKF (Velocity Kalman Filter) design for a performance improvement underwater integrated navigation system. The integrated navigation sensor using DVL (Doppler Velocity Log) is widely used to improve the underwater navigation performance. However, the DVL’s range of measuring varied depending on the characteristics of sensor. So, if the sea gets too deep suddenly, it cannot measure the velocity. To complement such a weak point, the VKF was additionally designed, which was made of DVL, RPM (Revolve Per Minutes) of motor, and ES (Echo Sounder). The proposed approach relies on a VKF, augmented by an altitude from ES based switching architecture to yield robust performance, even when DVL exceeds the measurement range and the measured value is unable to be valid. The proposed approach relies on two parts: 1) indirect feedback navigation Kalman filter design, 2) VKF design. To evaluate the proposed method, we compare the VKF aided navigation system with PINS (Pure Inertial Navigation System) and conventional INS-DVL navigation system through simulation results. Simulations illustrate the effectiveness of the underwater navigation system assisted by the additional DVL-RPM based VKF in underwater environment.

MPLS VPN的私网IP地址路由问题分析

随着Intemet的爆炸性增长，传统IPv4地址即将耗尽、传统路由器的处理能力也接近极限。为了解决这些问题，在ISP骨干网中组建MPLSVPN，通过在PE上测试VPNv4路由信息的方法，从理论上证明基于MPLS技术组建的VPN在一定程度上缓解了这些矛盾。