As a key component of military radar,the slewing bearing plays a significant role in ensuring the safe use of an equipment and improving its efficiency.The real-time monitoring and diagnosis of slewing bearing operation state through data-driven methods have become a hot research topic in this technical field.However,the slewing bearing is faced with the problems of complex service conditions and scarce failure test samples so that its fault diagnosis technology research has been plagued by the lack of data and the development and application of the prediction and health management technology of military machinery and equipment are seriously constrained.For this reason,the slewing bearing failure is tested,and a failure test data set is generated by collecting the multidirectional vibration and acoustic emission signals during the operation process of slewing bearing.The data set contains the vibration signals and acoustic emission signals of slewing bearing under nine working conditions,and the signal acquisition time,fault label,rotational speed,load,number of acquisitions and other related information of slewing bearing are clearly labeled,which provides data support and technical guarantee for the fault diagnosis of data-driven slewing bearing and the health management of radar servo system.
关键词
回转支承/雷达/数据驱动/故障试验/故障预测与健康管理
Key words
slewing bearing/radar/data-driven/failure test/failure prediction and health management
维普
万方数据