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The situation and challenge of electrical power monitoring system are summarized in this paper, the electrical power monitoring systems confront the challenge of mass data processing. The open source Apache Hadoop platform is a great choice for solving the problems with petabytes of data. We give a superficial framework based on Hadoop for the power monitoring, and give some suggestions on how to...
To aim at the character that the uncertainties of the complex system of Autonomous Underwater Vehicle (AUV) bring to model the system difficult, a wavelet neural network (WNN) is proposed to construct the motion model of AUV. The adjustment of the scale factor and shift factor of wavelet and weights of WNN is studied. The WNN has the ability not only to approach the whole figure of a function but...
To overcome the sensor system problem of fault diagnosis and signal recovery for autonomous underwater vehicle (AUV), a method based on strong tracking filter (STF) theory and singer model of first order time correlation function was proposed. The STF-Singer model by combining the signal processing method and STF method dose not need the accurate mathematical model of the controlled plant, and it...
Research on thruster fault diagnosis of Underwater Robots (URs) is undertaken to improve its whole system reliability. Based on the BP neural network, a recurrent neural network (RNN) is presented and the network training algorithm is deduced. The RNN is trained by voyage head and yaw turning experiments, and the well trained network is applied to model for the URs. Compared the outputs between model...
Study of thruster fault diagnosis of Underwater Robots (URs) is undertaken to improve its whole system reliability. Based on the BP neural network, an improved recurrent neural network (RNN) is proposed and the network training algorithm is deduced. The RNN is trained by voyage head and yaw turning experiments, and the well trained network is applied to model for the URs. Compared the model's outputs...
Research on sensor fault diagnosis of underwater robots (URs) is undertaken to improve its whole system reliability. Based on the analysis of URspsila three kinds of sensor failures, fault diagnosis methods corresponding to these failures are presented. The basic principles of wavelet transform and linear smoothing are expressed, signal singularity analysis is conducted and the general standard of...
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