The real-time fault diagnosis system is very great important for steam turbine generator set due to a serious fault results in a reduced amount of electricity supply in power plant. A novel real-time fault diagnosis s...The real-time fault diagnosis system is very great important for steam turbine generator set due to a serious fault results in a reduced amount of electricity supply in power plant. A novel real-time fault diagnosis system is proposed by using strata hierarchical fuzzy CMAC neural network. A framework of the fault diagnosis system is described. Hierarchical fault diagnostic structure is discussed in detail. The model of a novel fault diagnosis system by using fuzzy CMAC are built and analyzed. A case of the diagnosis is simulated. The results show that the real-time fault diagnostic system is of high accuracy, quick convergence, and high noise rejection. It is also found that this model is feasible in real-time fault diagnosis.展开更多
Artificial neural networks(ANNs)are one of the primary types of artificial intelligence and have been rapidly developed and used in many fields.In recent years,there has been a sharp increase in research concerning AN...Artificial neural networks(ANNs)are one of the primary types of artificial intelligence and have been rapidly developed and used in many fields.In recent years,there has been a sharp increase in research concerning ANNs in gastrointestinal(GI)diseases.This state-of-the-art technique exhibits excellent performance in diagnosis,prognostic prediction,and treatment.Competitions between ANNs and GI experts suggest that efficiency and accuracy might be compatible in virtue of technique advancements.However,the shortcomings of ANNs are not negligible and may induce alterations in many aspects of medical practice.In this review,we introduce basic knowledge about ANNs and summarize the current achievements of ANNs in GI diseases from the perspective of gastroenterologists.Existing limitations and future directions are also proposed to optimize ANN’s clinical potential.In consideration of barriers to interdisciplinary knowledge,sophisticated concepts are discussed using plain words and metaphors to make this review more easily understood by medical practitioners and the general public.展开更多
文摘The real-time fault diagnosis system is very great important for steam turbine generator set due to a serious fault results in a reduced amount of electricity supply in power plant. A novel real-time fault diagnosis system is proposed by using strata hierarchical fuzzy CMAC neural network. A framework of the fault diagnosis system is described. Hierarchical fault diagnostic structure is discussed in detail. The model of a novel fault diagnosis system by using fuzzy CMAC are built and analyzed. A case of the diagnosis is simulated. The results show that the real-time fault diagnostic system is of high accuracy, quick convergence, and high noise rejection. It is also found that this model is feasible in real-time fault diagnosis.
基金National Natural Science Foundation of China,No.81773135 and No.82073192。
文摘Artificial neural networks(ANNs)are one of the primary types of artificial intelligence and have been rapidly developed and used in many fields.In recent years,there has been a sharp increase in research concerning ANNs in gastrointestinal(GI)diseases.This state-of-the-art technique exhibits excellent performance in diagnosis,prognostic prediction,and treatment.Competitions between ANNs and GI experts suggest that efficiency and accuracy might be compatible in virtue of technique advancements.However,the shortcomings of ANNs are not negligible and may induce alterations in many aspects of medical practice.In this review,we introduce basic knowledge about ANNs and summarize the current achievements of ANNs in GI diseases from the perspective of gastroenterologists.Existing limitations and future directions are also proposed to optimize ANN’s clinical potential.In consideration of barriers to interdisciplinary knowledge,sophisticated concepts are discussed using plain words and metaphors to make this review more easily understood by medical practitioners and the general public.
