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A fault detection system of a power plant by means of neuro-fuzzy fusion method is discussed in this paper. Stator temperature together with temperature variations of refrigerant at the entrance and exit of hydrogenerator group are firstly monitored by temperature sensors. The fuzzy system of the aforementioned variables and their membership functions, next, are designed according to expertise knowledge...
Some applications of Bayesian neural networks (BNN) in the high energy physics experiments are described in the present paper. They are the applications of BNN to particle identification in the second generation of Beijing spectrometer experiment (BESII), event identification and event reconstruction in reactor neutrino experiments and supernova location in scintillator detector experiments, respectively...
A new single-stage power factor correction (SSPFC) converter is proposed for the adapter application, which is composed of a flyback converter and a front-end input current shaper. Low conduction losses are achieved with only two diode conduction drops in the primary side. The conversion efficiency is improved with a direct energy transfer path, which is provided by the feedback wingding. Equations...
Distributed fusion algorithm and its model (DFM) are discussed for oil forecast in this paper. DFM comprises a global fusion center (GFC) and several local fusion units (LFU) tightly connecting with each other. LFU performs fusion through two steps: the feature-level fusion that analyzes qualitative data through classifying analysis method and extracts quantitative data through BP neural network method;...
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