The Global Consensus Active Fault Diagnosis for Steam Pipeline Considering Leakage Fault Modeling: A...

Area of Science:

• Engineering
• Control Systems
• Industrial Safety

Background:

• Steam pipelines are critical in industrial parks for heating and cooling.
• High temperature and pressure in steam pipelines pose risks of damage and require timely fault diagnosis.
• Existing methods struggle with the multitime-scale properties inherent in steam pipeline systems.

Purpose of the Study:

• To address the active fault diagnosis (AFD) problem in steam pipelines with multitime-scale characteristics.
• To develop a method that ensures global consistency in fault diagnosis results despite inconsistent timescales.
• To improve the accuracy and reliability of fault detection in industrial steam transportation systems.

Main Methods:

• Proposed a global consensus active fault diagnosis (AFD) method utilizing a multitime-scale set-membership observer.
• Developed a novel steam transportation model that incorporates leakage energy loss for accurate fault modeling.
• Incorporated original inputs with dynamic characteristics into the optimization problem for auxiliary signal design.

Main Results:

• Achieved state estimation sets under different timescales, guaranteeing global consistency of fault diagnosis.
• Successfully separated healthy and faulty state estimation sets through an optimized auxiliary signal.
• Demonstrated the effectiveness of the proposed AFD methodology using real-world data from a steel industrial park.

Conclusions:

• The proposed global consensus AFD method effectively handles multitime-scale properties in steam pipelines.
• The novel modeling approach and optimization strategy enhance the accuracy of leakage fault diagnosis.
• This research contributes to improved safety and operational reliability in industrial steam systems.