先进的基于振动的故障诊断和振动控制方法
Xiaohua Song1, Jing Liu2, Min Xia3
1School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究侧重于工业机械元件的故障诊断和振动控制. 它使用数据,模拟和经验来预测机器性能并防止关键故障.
科学领域:
- 机械工程 机械工程
- 状态监控 状态监控
- 控制系统 控制系统
背景情况:
- 工业机械元件需要持续的性能监测.
- 预测性维护对于运营效率和安全至关重要.
- 传统的方法往往缺乏全面的预测能力.
研究的目的:
- 整合故障诊断和振动控制策略.
- 提高工业机器的主动性能描述.
- 为了解决机械系统中的关键极限事件.
主要方法:
- 使用可靠测量的性能数据.
- 采用分析模拟来进行性能建模.
- 结合启发式经验来进行可靠的分析.
主要成果:
- 启用了当前机器性能的主动描述.
- 方便预测预期的未来机器性能.
- 提高了关键极限事件的识别.
结论:
- 综合方法提高了机械元件的可靠性.
- 积极的绩效监控可以减少意外故障.
- 这种方法支持高效的工业运作.
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