Research On Fault Intelligent Diagnosis Of Marine Boiler Superheater Tube Rupture By Simulation Technology

Marine boiler is an important part of marine power plant. In order to ensure normaloperation of marine power plant, the research on their common faults is of great significance.Reviewing the research and development status of fault diagnosis technology, most study isconcentrated on fault diagnosis of rotating machinery and boiler plant, and the study on thediagnosis of marine boilers is rare. The main work of this paper focuses on the study on faultdiagnosis of the marine boiler through comprehensive multi-parameter analysis, and thefrequently-occurred tube rupture in the superheater, economizer.The fault sample knowledge has been extracted from the simulation model. Therefore,based on previous studies, through improving the circulatory system of the marine steamboiler, precise marine boiler simulation model is built using sub-module modeling method.The simulation model of superheater tube rupture and leak economizer fault is establishedthrough the methods of network fluid. Then the fault model and boiler simulation model iscombined to gain superheater tube rupture and economic leakage fault sample knowledge.In addition, this paper has conducted in-depth research on the theory and methods offault diagnosis of marine boilers; fuzzy neural network is combined with BP network and thefuzzy logic, which is intelligent fault diagnosis.The results show that with the improvement of circulation system, the marine steamboiler simulation model can simulate static and dynamic characteristics of the marine boilerwell; superheater pipe burst and economizer leak fault simulation model can accurately reflectthe failure phenomenon. Therefore, extract samples of knowledge has a certain accuracybased on the fault simulation model. Meanwhile, sample fuzzy knowledge is input to the BPneural network for fault diagnosis, and accurate fault diagnosis is obtained.