管道鲁棒故障诊断
Robust Fault Diagnosis for Pipelines
摘要：
本文介绍了一种用于管道故障检测、识别和重构的诊断系统的设计。这种诊断系统的设计是基于冗余关系和非线性观测器，考虑故障的传感器，泵的损坏，和未知的提取。该算法是基于管道中流体行为的非线性方程描述的模型，考虑到质量和动量守恒的原则。为了区分不同类型的故障并重建其行为，诊断系统分阶段运行。第一阶段称为检测和故障隔离，旨在隔离故障症状与一组冗余关系，推导出的模型在标称条件下，并假设测量的标准变量在管道的极端的分析。在第二阶段称为故障重建，非线性观测算法估计孤立故障的时间演化。通过在200 [m]的液压先导管路上进行的一系列实验，对完整的诊断系统进行了验证。
英文摘要：
This paper presents the design of a diagnosis system for the detection, identification and reconstruction of faults in pipelines. The design of such diagnosis system is based on redundant relations and nonlinear observers, taking into account faults in sensors, damages in pumps, and unknown extractions. The proposed algorithm is developed based on a model described by nonlinear equations of the fluid behavior in a pipeline, considering the principles of conservation of mass and momentum. In order to distinguish among different types of faults and to reconstruct their behavior, the diagnosis system operates in stages. The first stage called detection & fault isolation aims to isolate a fault symptom with a set of redundant relations deduced from the analysis of the model in nominal conditions and assuming measurements of the standard variables at the extremes of the pipeline. In the second stage named fault reconstruction, nonlinear observation algorithms estimate the temporal evolution of the isolated fault. The complete diagnosis system is validated through a series of experiments in a hydraulic pilot pipeline of 200 [m].
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