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兵工学报 ›› 2024, Vol. 45 ›› Issue (10): 3744-3753.doi: 10.12382/bgxb.2023.0756

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JUST回转支承故障试验数据分析

周宏根1, 任小蝶1, 孙丽1,2,*(), 李国超1, 文思钊3, 彭展1, 刘寅飞1   

  1. 1 江苏科技大学 机械工程学院, 江苏 镇江 212000
    2 火箭军工程大学 控制工程系, 陕西 西安 710025
    3 武汉滨湖电子有限责任公司, 湖北 武汉 430205
  • 收稿日期:2023-08-15 上线日期:2023-12-04
  • 通讯作者:
  • 基金资助:
    国家自然科学基金项目(62203193); 江苏省高等学校基础科学(自然科学)研究面上项目(21KJB510016)

Study of JUST Slewing Bearing Failure Test Data

ZHOU Honggen1, REN Xiaodie1, SUN Li1,2,*(), LI Guochao1, WEN Sizhao3, PENG Zhan1, LIU Yinfei1   

  1. 1 School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, Jiangsu, China
    2 Department of Control Engineering, Rocket Force University of Engineering, Xi’an 710025, Shaanxi, China
    3 Wuhan Binhu Electronics Company Limited, Wuhan 430205, Hubei, China
  • Received:2023-08-15 Online:2023-12-04

摘要:

回转支承作为军用雷达的关键部件,对保证设备安全使用、提高效益具有重大作用。通过数据驱动方法对回转支承运行状态进行实时监测与诊断,已成为该技术领域的研究热点。然而回转支承面临服役工况复杂、故障试验样本稀少等问题,使其故障诊断技术研究一直饱受数据不足的困扰,也严重制约了军用机械装备寿命预测与健康管理技术的发展与应用。为此开展了回转支承故障试验,通过对回转支承运转过程中的多向振动、声发射信号进行采集,形成了故障试验数据集。该数据集包含回转支承在9种工况下的多向振动信号和声发射信号,且明确标注了回转支承的信号采集时间、故障标签、转速、负载、采集次数等多种相关信息,为基于数据驱动的回转支承故障诊断与雷达伺服系统健康管理提供数据支撑和技术保障。

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

Abstract:

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.

Key words: slewing bearing, radar, data-driven, failure test, failure prediction and health management

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