文件名称：Model-Based Water Wall Fault Detection FBC Boiler Strong Tracking Filter
文件大小：2.83MB
文件格式：PDF
更新时间：2018-03-09 07:12:13
强跟踪滤波器 流化床锅炉 故障诊断
Fluidized bed combustion (FBC) boilers have received increasing attention in recent decades. Th erosion issue on the water wall is one of the most common and serious faults for FBC boilers. Unlike direct measurement of tube thickness used by ultrasonic methods, the wastage of water wall is reconsidered equally as the variation of the overall heat transfer coeffient in the furnace. In this paper, a model-based approach is presented to estimate internal states and heat transfer coeffient dually from the noisy measurable outputs. Th estimated parameter is compared with the normal value. Thn the modifid Bayesian algorithm is adopted for fault detection and diagnosis (FDD). Th simulation results demonstrate that the approach is feasible and effctive.