中国在页岩气的勘探开发中通常采用便于拆迁、运输与再组装的撬装设备，而撬装设备长期处于高压高温的工作环境中，容易产生故障。为了杜绝生产事故，消除安全隐患，有必要对集输撬装设备进行定期监测和故障诊断。常用的设备故障诊断方法仅仅能够得到相对独立和离散的故障信息，无法把故障之间的关联关系挖掘出来。对此，提出了两阶段关联分析技术，对页岩气集输撬装设备的故障信息展开分析，发现故障间的关联关系及缺陷类型分布，进而指导设备维护与工艺优化。在真实数据上的实验表明，所提出的方法准确发现了撬装设备缺陷位置间的关联关系及缺陷类型分布，为集输撬装设备的预防性检测和优化设计提供了新的解决方案。

In China's shale gas exploration and development, skid-mounted equipment is typically used due to its ease of disassembly, transportation, and reassembly. This equipment is often operated in high-pressure and high-temperature environments. As a result, faults are more likely to occur. To prevent production accidents and eliminate safety hazards, regular monitoring and fault diagnosis of skid-mounted gathering and transportation equipment are essential. Only relatively independent and discrete fault information is typically provided by conventional fault diagnosis methods. The relationships between faults are not uncovered. In response, a two-stage association analysis technique was proposed to analyze fault data from shale gas gathering and transportation skid-mounted equipment. The relationships between faults and defect type distributions were identified, providing valuable guidance for equipment maintenance and process optimization. It has been demonstrated through experiments on real data that the method proposed accurately identifies the relationships between defect locations and the distribution of defect types in skid-mounted equipment. A new solution is provided for the preventive detection and optimized design of gathering and transportation skid-mounted systems.