Reducing the Malfunction Signal Noise from NC Machine Tool Bearing Based on the Kalman Filtration
Surface desquamation is the major performance of the NC machine tool malfunction. The malfunction can be diagnosed through whether running character frequency and its harmonic wave of the Mating inner ring or outer ring is present in the shock vibration produced by the malfunction. This article establishes a dynamic model of surface desquamation, a bearing vibration state model and observation model. Meanwhile the vector of the model is obtained. It has been proved through emulation and experiments that bearing malfunction signal can be effectively traced and estimated by Kalman filtration.
Kalman filtration algorithm bearing numerical control machine tool
X.J.Wang X.G.Fu Y.S.Luo
Mechanical and Electronic Department of Guangdong Polytechnic Normal University,Guangzhou,510635,Chi Guangzhou Panyu Polytechnic College,Guangzhou 511483,China
国际会议
常州
英文
463-467
2009-11-19(万方平台首次上网日期,不代表论文的发表时间)