Entrained-flow coal-water slurry (CWS) gasification is a clean and efficient energy utilization technology and it was difficult to avoid misoperation during gasifier operation process. Qualitative trend analysis (QTA) is a data-driven method based on process history, and has been widely used in process monitoring and fault diagnosis. In this study, a suitable on-line basic primitive sequence processing method combining QTA and the extended sliding window trend extraction (SWTE) method is developed for the operation of entrained-flow CWS gasifier. Based on the optimized method, trend extraction and primitive sequence processing on three sets of data, i.e., gasifier temperature, gasifier pressure, and slag discharge hole pressure difference, were performed in this study. The optimized method could be effectively applied to the real-time monitoring and fault diagnosis of entrained-flow gasifier since its output was simple and accurate.

气流床水煤浆气化技术是一种清洁高效的能源利用技术，在气化炉运行过程中难以避免误操作。定性趋势分析（QTA）是一种基于过程历史的数据驱动方法，已广泛用于过程监视和故障诊断中。在这项研究中，开发了一种适用于夹带流CWS气化炉运行的，结合QTA和扩展滑动窗口趋势提取（SWTE）方法的在线基本原始序列处理方法。基于优化的方法，对气化炉温度，气化炉压力和排渣孔压差三组数据进行趋势提取和原始序列处理。