使用分析冗余方法检测带有或没有干扰的传感器故障:对孔流量计的应用
Vemulapalli Sravani1, Santhosh Krishnan Venkata2
1Department of Electronics and Communication Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal 576104, India.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种基于模型的方法,用于检测孔流量计的故障. 该方法有效地识别漂移,开放电路和短路故障,使用线性参数变化的观察器.
科学领域:
- 工程 工程师 工程师 工程师
- 工业仪器仪表 工业仪器仪表
- 控制系统 控制系统
背景情况:
- 传感器和传感器对于工业生产率至关重要.
- 孔流量计通常用于工业流量监控.
- 流量计故障可能会破坏依赖的工业系统.
研究的目的:
- 开发一种基于模型的方法来检测孔流量计的故障.
- 为了有效地隔离不同类型的流量计缺陷.
- 将拟议方法的性能与神经网络进行比较.
主要方法:
- 从计算流体动力学短暂数据开发一个系统模型.
- 使用二次转移函数来创建线性参数变量 (LPV) 观察者.
- 使用LPV观测器生成故障检测残留物.
主要成果:
- 该LPV观察员方法有效地隔离漂移,开放电路和短路故障.
- 开放和短路故障在1秒内被检测出来.
- 漂移故障检测时间在5.2到20秒之间,取决于值和斜率设置.
结论:
- 使用LPV观察器的基于模型的方法为孔流量计提供了有效的故障检测.
- 该方法证明了具有或没有系统干扰的稳定性.
- LPV观察器为流量计故障诊断提供了神经网络的可行替代方案.
关键词:
这是一个LPV模型.卢恩伯格 (Luenberger) 是一个观察者.检测和隔离故障的检测和隔离.流量测量 流量测量 流量测量神经网络的神经网络的神经网络孔径流量计的孔径流量计.传感器故障 发生故障系统识别系统识别更多相关视频
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