XJTU-SY滚动轴承加速寿命试验数据集解读

XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets: A Tutorial

预测与健康管理对保障机械装备安全服役、提高生产效率、增加经济效益至关重要。高质量的全寿命周期数据是预测与健康管理领域的基础性资源,这些数据承载着反映装备服役性能完整退化过程与规律的关键信息。然而,由于数据获取成本高、存储与传输技术有待发展等原因,典型的全寿命周期数据极其匮乏,严重制约了机械装备预测与健康管理技术的理论研究与工程应用。为解决上述难题,西安交通大学机械工程学院雷亚国教授团队联合浙江长兴昇阳科技有限公司,选取工业场景中典型的关键部件——滚动轴承为试验对象,开展了历时两年的滚动轴承加速寿命试验,并将获取的试验数据——XJTU-SY滚动轴承加速寿命试验数据集面向全球学者公开发布。该数据集共包含3种工况下15个滚动轴承的全寿命周期振动信号,采样频率高、数据量大、失效类型丰富、记录信息详细,既可为预测与健康管理领域提供新鲜的'数据血液',推动故障诊断与剩余寿命预测等领域的算法研究,又可助力工业界智能化运维的'落地生根'。

Prognostics and health management(PHM)is crucial for ensuring the safe operation of machinery,improving the productivity and increasing economic benefits.High-quality life-cycle data,as the basic resource in the field of PHM,are able to carry the key information which reflects the complete degradation processes of machinery.However,due to the high costs in data acquisition and insufficient development in storage and transmission technology,typical life-cycle data is extremely scarce,which limits the theoretical research and engineering application of PHM for machinery.In order to solve this dilemma,accelerated life tests of rolling element bearings are carried out by Prof.Yaguo Lei’s research group from School of Mechanical Engineering,Xi’an Jiaotong University(XJTU)and the Changxing Sumyoung Technology Co.,Ltd.(SY),Zhejiang.These tests lasted for two years and the acquired datasets,i.e.,XJTU-SY bearing datasets,have been publicly released for all PHM researchers.The XJTU-SY bearing datasets contain run-to-failure vibration signals of 15 rolling element bearings under three different operating conditions.These datasets have high sampling frequency,large amount of data,abundant failure types and detailed recording information.Accordingly,these datasets not only provide fresh'data blood'for PHM and promote the research of fault diagnosis and remaining useful life prediction,but also are able to help to improve intelligent maintenance decision making in industry.