| The spaceflight launch site equipment is the matter foundation for experiment, which is directly related to the success or failure of it. This paper contributes effective theory and methods for the spaceflight launch site equipment.The key part of the rotary flat is the rolling bearing of reciprocating,low speed, non-full rotation and heavy load. Because of the rolling bearing's special work characteristic, traditional fault diagnosis don't directly use. It is fully new study area for the fault diagnosis of the rolling bearing. The paper firstly study the cause and type of fault in rolling bearing, analyze the vibration feature of all kinds of faults and summarize the vibration detection theory of this type bearing. They are the principle basis of state quality test. Test system is designed. Based on the experiment, it firstly put forward pulse energy for the state quality test for the rolling bearing of reciprocating,low speed, non-full rotation and heavy load by analyzing on-off vibration signals. The parameter of pulse energy and pulse times are constructed, which is used to solve the state quality test for rotary flat .Set up the state quality pattern recognition system based on BP neural network.The performance test and evaluation on state quality of rotary flat are primarily realized. The method has certain application foreground and high practicality value. |
