The boiler is one of the key parts of power station. Monitoring the operation of the boiler automatically, continuously and accurately is very important. In case of malfunctions, an expert system might be helpful to f...The boiler is one of the key parts of power station. Monitoring the operation of the boiler automatically, continuously and accurately is very important. In case of malfunctions, an expert system might be helpful to find the sources of faults, and thereafter will assist the operator to act correctly and to prevent the fault from further development.In this paper, a simulation study of an expert system, which can diagnose the running faults of boiler system, is conducted. Shallow and deep two-layer knowledge base structure is used in this two layers of knowledge base. So. this kind of expert system can overcome the disadvantages of the old types of expert systems, which are only able to deal with experience rules base.A simulator of power boiler is used for the research on fault diagnose expert system. This boiler simulator gives all necessary information for the diagnosis. The knowledge base of expert system is built in hierarchies, so the speed of reasoning may be invreased. After the reasoning the展开更多
Recently, EMMS-based models are being widely applied in simulations of high-throughput circulating fluidized beds （CFBs） with fine particles. Its use for low flux systems, such as CFB boiler （CFBB）, still remains ...Recently, EMMS-based models are being widely applied in simulations of high-throughput circulating fluidized beds （CFBs） with fine particles. Its use for low flux systems, such as CFB boiler （CFBB）, still remains unexplored. In this work, it has been found that the original definition of cluster diameter in EMMS model is unsuitable for simulations of the CFB boiler with low solids flux. To remedy this, we propose a new model of cluster diameter. The EMMS-based drag model （EMMS/matrix model） with this revised cluster definition is validated through the computational fluid dynamics （CFD） simulation of a CFB boiler.展开更多
文摘The boiler is one of the key parts of power station. Monitoring the operation of the boiler automatically, continuously and accurately is very important. In case of malfunctions, an expert system might be helpful to find the sources of faults, and thereafter will assist the operator to act correctly and to prevent the fault from further development.In this paper, a simulation study of an expert system, which can diagnose the running faults of boiler system, is conducted. Shallow and deep two-layer knowledge base structure is used in this two layers of knowledge base. So. this kind of expert system can overcome the disadvantages of the old types of expert systems, which are only able to deal with experience rules base.A simulator of power boiler is used for the research on fault diagnose expert system. This boiler simulator gives all necessary information for the diagnosis. The knowledge base of expert system is built in hierarchies, so the speed of reasoning may be invreased. After the reasoning the
基金supported by the Natural Science Foundation of China under Grant Nos. 21106157,21176240 and 51106168Ministry of Science & Technology (MOST) under Grant No. 2007AA050302-03the "Strategic Priority Research Program" of Chinese Academy of Sciences under Grant Nos. KGCX2-YW-222 and XDA07080202
文摘Recently, EMMS-based models are being widely applied in simulations of high-throughput circulating fluidized beds （CFBs） with fine particles. Its use for low flux systems, such as CFB boiler （CFBB）, still remains unexplored. In this work, it has been found that the original definition of cluster diameter in EMMS model is unsuitable for simulations of the CFB boiler with low solids flux. To remedy this, we propose a new model of cluster diameter. The EMMS-based drag model （EMMS/matrix model） with this revised cluster definition is validated through the computational fluid dynamics （CFD） simulation of a CFB boiler.
