一种具有多域特征的新型重型轴承降解评估方法
Ruolan Xiong1, Aihua Liu2,1, Dongfang Xu1
1School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430070, China.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究引入了一种使用多域特征评估重型轴承退化的新方法. 它准确地识别了早期的退化,并在整个生命周期中保持健康的轨迹.
科学领域:
- 机械工程 机械工程
- 可靠性工程可靠性工程
- 信号处理 信号处理
背景情况:
- 重型轴承面临复杂的,可变的负载,导致不可预测的降解模式.
- 在这种情况下,传统的降解指数难以准确地代表整个生命周期的轴承健康状况.
研究的目的:
- 为重型轴承开发一种新的降解评估方法.
- 准确地捕捉早期降解点并描述降解趋势.
- 改善在苛刻的操作条件下对轴承健康状况的评估.
主要方法:
- 改进波纹包分解以提取能量特征.
- 构建一个多域特征集,结合时间和频率域数据.
- 使用一个全面的评估指数来形成一个最佳的特征矩阵.
- 开发一个全面的降解指数,整合概率和距离信息.
主要成果:
- 拟议的方法有效地识别了轴承的早期降解.
- 它准确地跟踪轴承在其生命周期中的降解状态.
- 使用两个不同的数据集进行了验证,证实了方法的有效性.
结论:
- 这种新方法可以更准确地评估重型轴承的退化情况.
- 它可以早期检测出故障,并可靠地跟踪轴承健康状况.
- 这种方法提高了关键机械的整体降解评估和预测性维护能力.
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