The Global Consensus Active Fault Diagnosis for Steam Pipeline Considering Leakage Fault Modeling: A Multitime-Scale-Based Set-Membership Observer Approach
针对蒸汽管道多时间尺度特性，提出基于多时间尺度集员观测器的全局一致性主动故障诊断方法，解决时间尺度不一致问题，并建立考虑泄漏能量损失的蒸汽运输模型，实现故障诊断。
Steam, which plays an essential role in heat source medium for heating and cooling, is extensively utilized in industrial parks. Due to the high temperature and pressure characteristics of steam, which has the potential to cause damage to the steam pipeline easily. It is crucial to conduct fault diagnosis for the steam pipeline timely. This article is concerned with the active fault diagnosis (AFD) problem for the steam pipeline with multitime-scale properties. The global consensus AFD method based on the multitime-scale set-membership observer is proposed to solve the issue of inconsistent timescales, which not only achieves state estimation sets under different timescales but also guarantees the global consistency of fault diagnosis results. In view of the leakage fault modeling problem of the steam pipeline, a novel steam transportation model considering the leakage energy loss is established. Moreover, when establishing the optimization problem of the auxiliary signal, original inputs with dynamic characteristics are considered. The key of optimization problem comes down to the separation of healthy and faulty state estimation sets. Finally, experimental results are given to illustrate the effectiveness of the proposed AFD methodology with the steam pipeline data from a steel industrial park.