多次采样数据驱动的动态系统的快速故障检测
Yu Hu1, Aibing Qiu2, Yintao Wang2
1Nantong University, School of Imformation Science and Technology, Nantong, 226019, China.
ISA transactions
|December 20, 2025
概括
本研究介绍了多级采样数据 (MRSD) 系统的快速故障检测方法. 该技术增强了观察者的诊断性能,并使得能够快速生成残留物,以改进故障检测.
科学领域:
- 控制系统工程 控制系统工程
- 信号处理 信号处理
- 错误诊断 错误诊断 错误诊断 在
背景情况:
- 多级采样数据 (MRSD) 系统在现代工程中很普遍.
- 由于采样率不一致,MRSD系统中的数据异步阻碍了有效的故障诊断,导致延迟和错过检测.
研究的目的:
- 提出一种新的,快速的故障检测方案,专门为由MRSD驱动的动态系统设计.
- 解决数据异步的挑战,提高MRSD系统中故障检测的及时性.
主要方法:
- 提升技术用于将异步的MRSD转换为同步的,缓慢率的采样数据.
- 使用子空间识别和辅助提升输出构建一个多维诊断观测器来计算一个平度向量.
- 使用后过器来管理因果关系约束,并实现快速的剩余生成.
主要成果:
- 拟议的方案促进了快速的剩余生成,克服了因果关系约束.
- 为增强故障检测,制定了一个快速的残留评估策略.
- 该方案的有效性通过采用加热,通风和空调 (HVAC) 系统示例来验证.
结论:
- 开发的故障检测方案有效处理MRSD,从而实现更快,更可靠的故障诊断.
- 该方法在解决MRSD系统固有的数据异步问题方面表现出优越性.
- 该方法在使用MRSD的复杂工程系统中为故障诊断提供了显著的进步.
相关概念视频
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