A method based on the theory of gearing and the gear generation mechanism is proposed to analyze the influence of geometric errors of a linear axis on the position and orientation of instantaneous contact line. The mapping relation, utilized to describe the gear profile and the grinding disk profile is established between intrinsic parameters of a grinding machine and meshing parameters. Firstly, instantaneous contact line equation and error transformation matrix are built. Then six component geometric errors of a linear axis are introduced. Finally, a comparison is conducted between the theoretical contact line and the actual contact line to identify the influence of each geometric error. The application of the simulation illustrates that: the instantaneous contact line calculating method can accurately obtain the influence values of each geometric error, which provides a scientific basis for gear profile accuracy improvement in a large-scale gear forming grinding method.
As a key rotary connection component of construction machinery, the operation performance of slewing bearing has an impact on the stability of engineering construction. Condition monitoring for slewing bearing is essential to their high availability and profitable operation. However, the characteristics of slow-speed large-size slewing bearing make the weak vibration signal corrupted with noise. Therefore, effective signal de-noising for preprocessing technique is difficult but crucial. To solve this problem, a novel signal de-nosing method using robust local mean decomposition is proposed with a product function selection strategy based on kernel principal component analysis. The effectiveness is validated by using simulated as well as experimental vibration signals obtained through a slewing bearing highly accelerated life test. The results illustrate that proposed method can perform effective signal de-noising of slewing bearing compared with other conventional method.
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