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Chen Y.,Yantai Naval Aeronautical and Astronautical University | Kou K.H.,Yantai Naval Aeronautical and Astronautical University | Li B.,Navy representative chamber in Guiyang Area | Leng J.Y.,Air force Dalian Communication NCO Academy
Applied Mechanics and Materials | Year: 2014

Under the bad environment, high polymer wear-resistant material has more superior erosion wear resistant performance than metal. It can replace wear-resistant metal material partly. In this paper, high polymer wear-resistant coat has been prepared with the epoxy resin, low molecular polyamide, nano-Al2O3 coupling agent. The shear strength and wear resistant test has been carried out under different elements content, and the test curve of coat is given. The results are analyzed. By the experiment result, the optimum coat formula is: low molecular polyamide content is 60% relative to E – 51; and the content of MoS2 is 12%. The result shows that the coat erosion wear resistance is 9 times of 45# steel under the best recipe. The coat is used to repair a worn mortar pump impeller, and the effect is obvious. © (2014) Trans Tech Publications, Switzerland.

Bin Y.Z.,China Electronics Technology Group Corporation | Bin Y.Z.,National Laboratory of Information Control Technology for Communication System | Qi H.,China Electronics Technology Group Corporation | Qi Z.,China Electronics Technology Group Corporation | Yong K.,Air Force Dalian Communication NCO Academy
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 | Year: 2010

Passive localization from a single site is a typical nonlinear and non-Gaussian filtering and estimating problem, and usually suffers large initial estimation error and low observability. Considering the distribution of measurements is usually more peaked than the distribution of system state, an algorithm of transformed space sampling particle filter (TSSPF) is proposed, in which a new transformed sample space is constructed by using some auxiliary variables, thus the transformed space is a linear transform of observation space, and the proposal distribution can be obtained in the transformed space, from which transformed space particles can be sampled. The final target state particles are achieved by transforming the transformed space particles to target state space particles. Simulation results of comparing TSSPF with extend Kalman filter(EKF), unscented Kalman filter(UKF) and the EKF and UKF based hybrid particle filter, demonstrate that TSSPF is superior in convergence speed, tracking precision and filtering stability, and the estimation error can approximate the Cramer-Rao lower bound(CRLB). © 2010 IEEE.

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