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When operating in high silt content flow, the hydraulic turbine is easily destroyed by abrasion and erosion of sediment. Nano WC/Co -High velocity oxygen flame (HVOF) sprayed coating is good to protect hydraulic turbine. Nano WC/Co coating is characterized by its small size of crystal boundary, high bond strength, high hardness, better rupture strength and good corrosion resistance so that the protective coating the coating has high resistance to the high-speed jet. The author described the present conditions of our country's hydraulic turbines'wear erosion, the characters of nano coating and the application of nano coating on the turbine units anti abrasion in this article.

The problem about multiuser detection eventually is a combinatorial optimization problem. Hopfield neural network can get the near-optimal combinatorial optimization solution instantly by dynamic evolution of itself; and it has a fast convergence time. This is necessary for real-time multi-user detection. We remove the constraints because MMSE is a free minimization problem, and let the linear transfer matrix corresponds to the neural network connected matrix and bias current corresponds to spread sequences We get the HNN linear multiuser detection algorithm based on MMSE criteria, called the new MHNN. Simulation result shows that the error bit ratio (BER) decreases compared with the former MHNN and HNN algorithm and it increases system capacity. This is because the MHNN algorithm solves the local optimization problem of original neural network and using the optimal objective function based on MMSE.