PCA和SDG融合的天然气脱水装置故障诊断

目的 快速定位天然气脱水装置的故障源.方法 对反映脱水系统运行状态的众多监测参数进行主成分分析,从而识别其中的异常参数.结合脱水工艺流程图,对所有参数及潜在设备故障进行因果分析,以建立脱水装置整体的SDG模型,将各异常参数的符号代入到该模型,按照双向推理规则最终确定造成这些参数异常的故障源.结果 通过主成分分析构造的SPE和T2统计量在脱水装置正常运行的时间段分别保持在低于20和141的控制限范围内,出现故障时两者几乎同时急剧增大,随后一直在远高于控制限的区间上波动.用贡献图法识别出的该故障的主导参数有三甘醇循环量、重沸器温度和缓冲罐液位.结论 将PCA与SDG相结合能够综合两种方法各自的优点,提高石化装备检维修的效率,保障设备的可靠运行.     

Developing an indicator set for measuring sustainable development in India

The global agenda of sustainable development (SD) will get a major boost from the successful implementation of the Sustainable Development Goals (SDGs) in developing countries. This requires effective planning and understanding of the SDGs at the national level and developing sound SDG indicators that account for country priorities. Currently, there is no formal SDG indicator set in India, but the process for it is underway. This paper has attempted to propose a unique technique for identifying the most representative indicator set for SD measurement in India based on the SDGs. Considering the needs and preferences of the country, a three‐stage process is proposed to develop the priority indicator set. The application of the approach has been presented for SDG 7, which relates to energy. This is supported with a background on India's SD progress. The proposed technique is simple yet effective, and can be easily replicated by other developing countries.     

基于SDG模型的HAZOP分析方法在钻井作业中的应用

HAZOP分析方法是目前危险性分析领域最盛行的分析方法之一,广泛地应用于石油化工行业。但是其分析过程仅依靠专家积累的知识与经验,不仅评价的内容不严格,而且分析的可信程度有限,对实际工作的指导意义不高,不能适应工业现场的要求。鉴于HAZOP分析方法中的不足,提出了基于SDG模型的HAZOP分析方法,并利用该方法对钻井作业过程进行了危险性分析。基于SDG模型的HAZOP分析方法从复杂系统的内部逻辑入手,进行深层次的推理,不仅提高了分析效率,而且分析所得结果的完备性较好。