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This paper proposes a prediction model for forecasting the hard landing problem. The landing phase has been demonstrated the most dangerous phase in flight cycle for fatal accidents. The landing safety problem has become one of the hot research problems in engineering management field. The study concentrates more on the prediction and advanced warning of hard landing. Firstly, flight data is preprocessed...
This paper aims to provide a model for evaluate the quality of diesel engine using radial basis function(RBF) neural network based on the trial run data. Quality evaluation in the manufacturing process is the key link to improve the quality of the diesel engine. However, it has not been fully researched especially that the quality evaluation of diesel engine based on the trial run data. Therefore,...
This paper aims to evaluate the quality of diesel engine using an improved TOPSIS method. The TOPSIS, a commonly used method in the evaluation of multiple criteria, is mainly adopted to sort the evaluation objects. However, the need to do in most cases is just to divide them into several categories. K-means algorithm, a major clustering algorithm, is often used to deal with classification problems...
This paper aims to evaluate the quality of diesel engine using an improved TOPSIS method. In the past research, the quality evaluation of the diesel engine is mainly based on fuzzy evaluation. However, the data generated in the run-in process, which is the test run of the whole diesel engine, have not been fully utilized. In this paper, evaluating the quality of the diesel engine with improved TOPSIS...
Δ14CO2 observations via Accelerator mass spectrometer are increasingly used to trace recently added fossil fuel CO2 in the atmosphere for evaluating and constraining the CO2 emission. In this study, we collected one-day CO2 samples in southeastern Xi'an City and analyzed them in the Xi'an-AMS Center to test our method. A TiH2 graphitization method introduced by Dr. Xu was modified by us to graphitize...
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