全球共识 蒸汽管道主动故障诊断 考虑泄漏故障建模:基于多时间尺度的集成成员观察员方法
IEEE transactions on cybernetics
|October 29, 2025
概括
本研究介绍了蒸汽管道的主动故障诊断 (AFD) 方法,解决了多时间尺度的挑战. 这种新的方法确保在不同的时间范围内始终检测故障,从而提高工业安全.
科学领域:
- 工程 工程师 工程师 工程师
- 控制系统 控制系统
- 工业安全 工业安全 工业安全
背景情况:
- 在工业园区,蒸汽管道对于供暖和冷却至关重要.
- 蒸汽管道中的高温和高压会造成损坏的风险,需要及时诊断故障.
- 现有的方法与蒸汽管道系统固有的多时间尺度属性作斗争.
研究的目的:
- 解决具有多时间尺度特征的蒸汽管道中的主动故障诊断 (AFD) 问题.
- 开发一种方法,确保故障诊断结果的全球一致性,尽管时间范围不一致.
- 提高工业蒸汽运输系统中故障检测的准确性和可靠性.
主要方法:
- 提出了一种全球共识的活跃故障诊断 (AFD) 方法,利用多次规模的集合成员观察员.
- 开发了一种新的蒸汽运输模型,该模型包含泄漏能量损失,用于准确的故障建模.
- 将具有动态特性的原始输入纳入辅助信号设计的优化问题.
主要成果:
- 在不同的时间尺度下实现状态估计集,保证故障诊断的全球一致性.
- 通过优化的辅助信号成功分离了健康和故障状态估计集.
- 使用来自钢铁工业园区的真实数据证明了拟议的AFD方法的有效性.
结论:
- 提出的全球共识AFD方法有效地处理蒸汽管道中的多时间尺度属性.
- 新型建模方法和优化策略提高了泄漏故障诊断的准确性.
- 这项研究有助于提高工业蒸汽系统的安全性和运行可靠性.
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01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
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