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The application of digital instrumentation and control systems in Nuclear Power Plants (NPPs) provides a series of advantages, but it also raises challenges in the reliability analysis of safety-critical systems in the NPPs. Software testing is one of the most significant processes to assure software reliability, and the safety-critical systems of NPPs are sensitive to the severity of software faults,...
Deep Belief Network (DBN) learns the features of the raw data automatically, and develops a new idea for the study of fault analysis of High Speed Train (HST). Combining deep learning and classification ensemble technology, this paper presents a novel DBN hierarchical ensemble model for HST fault analysis. Firstly, Fast Fourier Transform (FFT) coefficients of the HST vibration signals are extracted...
Space information system (SIS) is a typical complex system, which challenges traditional modeling methods. Agent-based modeling and simulation (ABMS) can be an appropriate and effective approach to modeling and simulation of SIS. Firstly, the advantages and basic concepts of ABMS are introduced briefly. Secondly, the complexity of SIS is analyzed, and it is concluded that the complexity of SIS results...
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