通过振动分析进行基于条件的旋转机器维护的信号处理:教程教程
Omri Matania1, Lior Bachar1, Eric Bechhoefer2
1BGU-PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
本教程解释了基于条件的旋转机械维护的振动分析. 它提供了实用的信号处理方法,并提供了代码示例,以方便学习.
科学领域:
- 工程 工程师 工程师 工程师
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 基于条件的维护 (CBM) 对旋转机械至关重要.
- 振动分析是一种常见的CBM技术.
- 了解身体行为是有效分析的关键.
研究的目的:
- 为CBM提供振动分析的实用教程.
- 解释振动分析中的重要信号处理方法.
- 使具有信号处理背景的个人能够学习CBM原则.
主要方法:
- 用于振动分析的信号处理技术.
- 基于理解组件物理行为的方法.
- 使用 Python 和 MATLAB 代码示例进行演示.
- 辅助教程的解释性视频.
主要成果:
- 提供了对振动分析原理的清晰理解.
- 为实施方法提供了实用的代码示例.
- 方便学习用于旋转机械的CBM.
结论:
- 振动分析是CBM的一个有效方法.
- 本教程是学习实用CBM技术的宝贵资源.
- 提供的资源增强了基于条件的维护的学习体验.
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