Oil price forecasting has received a great deal of attention from practitioners and researchers alike, but it remains difficult topic because its dependency on variety factors, including the economic cycle, international relations, geopolitics. Forecasting oil is gratifying task. Motivated by this issue, we present robust model for accurate crude using ARIMA Prophet models based machine learnin...

The quartz flexure accelerometer has been applied in many inertial systems, but the accelerometer signal may be infected by various noise components. In order to be sufficient for the precision requirement, a noise reduction method is designed and explored to meliorate the measurement signal. By constructing a Hankel matrix with the single channel collected signal, the singular value decomposit...

The accurate prediction of the load curve is not only vital to establishment generation scheduling, unit start-stop, and maintenance plan, but also has an important influence on ensuring smooth operation side consumption side, reducing cost power improving economic benefits. Based this, a short-term forecasting method based Savitzky-Golay time series filtering constructed. Firstly, relevant fac...

The purpose of this study was to enhance the accuracy calorific value estimation coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS). Savitzky–Golay (SG)-smoothing and SG derivative were adopted improve prediction model. relationship among original, SG-smoothing-pretreated, derivative-pretreated LIBS their elemental concentrations determined using partial ...

Abstract In order to prevent electrical fire in low-voltage distribution system, it is a very effective measure predict the life of various appliances running on line. At present, difficult residual AC contactors. How establish reasonable and reliable prediction model for contactors key test characteristic research this paper, Savitzky-Golay convolution smoothing algorithm combined with BP neur...

Taking the traction motor of CRH2 high-speed train as research object, this paper proposes a diagnosis method based on random forest and XGBoost for compound fault resulting from stator interturn short circuit air gap eccentricity. First, U-phase V-phase currents are used signal then Savitzky–Golay filtering is noise deduction signal. Second, wavelet packet decomposition to extract composite fe...