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Fault diagnosis has a significant role in enhancing the safety, reliability, and availability of complex systems. However, the problem of enormous condition monitoring data and multiple failure modes makes the diagnostics great challenge. The imbalance between normal and fault monitoring data will increase the false alarm rate and the false negative rate. On the other hand, discrete monitoring data...
Real-time monitoring data mining has been a necessary means of improving operational efficiency, economic safety and fault detection of power plant. Based on the data mining arithmetic of interactive association rules and taken full advantage of the association characteristics of real-time test-spot data during the power steam turbine run, the principle of mining quantificational association rule...
In order to reduce the cost and decrease the probability of accidents, accurate fault prediction is a goal pursued by researchers working at system test and maintenance. Most of traditional fault forecasting methods are not suitable for online prediction and real-time processing. To solve this problem, an online data-driven fault prognosis and prediction method is presented in this paper. The operating...
Accurate fault prediction can obviously reduce cost and decrease the probability of accidents so as to improve the performance of the system test and maintenance. Traditional fault prediction methods are always off-line that are not suitable for online and real-time processing. For the complicated nonlinear and non-stationary time series, it is hard to achieve exact predicting result with single models...
Analog circuit fault diagnosis problem can be modeled as a pattern recognition problem and solved by machine learning algorithm. SVM is often chosen as the learning machine because of its good generalization ability in small sample decision problem. However, in practical applications, because the fault samples are hard to acquire, the number of fault sample is far less than that for normal samples,...
With the wide application of modern electrical technique to weapon systems, weapons become more and more complicated, integrated, high-speed and intellectualized. To insure weapons in their good conditions, the function of fault diagnosis gets more important than before in the process of repairing. Now, it cannot give fault diagnosis quickly and correctly only by conventional means. So developing...
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