一种信号模式提取方法,可用于监测在稳定状态状态下运行的执行机械系统的状态
Adriana Munteanu1, Mihaita Horodinca1, Neculai-Eduard Bumbu1
1Faculty of Machines Manufacturing and Industrial Management, "Gheorghe Asachi" Technical University of Iasi, 700050 Iasi, Romania.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
本研究引入了一种使用信号模式分析进行机械系统状态监测的新方法. 该技术有效地识别和描述在稳定状态操作中的旋转部件行为.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 状态监控 状态监控
背景情况:
- 机械系统在稳定状态运行时会产生复杂的信号.
- 这些信号包含周期组件,可以指示旋转部件的健康状况.
- 现有的方法可能很难分离出这些微妙的周期性模式.
研究的目的:
- 提出一种新的方法来监测在稳定状态下执行的机械系统的状态.
- 通过周期信号组件来描述旋转部件的状态.
- 开发一种从传感器信号中提取时间域模式的方法.
主要方法:
- 使用定期间隔的信号样本的算术平均值.
- 将该方法应用于来自车床头部变速箱的传感器信号.
- 分析活动电力,振动和角速度信号.
主要成果:
- 成功提取了代表周期组件的时间域模式.
- 通过实验证明了该方法对条件监测的有效性.
- 识别了相关的模式,表明变速箱内旋转部件的行为.
结论:
- 拟议的算术平均方法对于条件监测是有效的.
- 这种方法可以从稳定状态信号中提取特征模式.
- 该技术为诊断旋转机械的状况提供了有价值的工具.
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