THE USE OF AN IMPROVED LSSVM AND JOINT NORMALIZATION ON TEMPERATURE PREDICTION OF GEARBOX OUTPUT SHAFT IN DFWT

The Use of an Improved LSSVM and Joint Normalization on Temperature Prediction of Gearbox Output Shaft in DFWT

In the working process of Double-Fed Wind Turbines (DFWT), it is very important to monitor and predict the temperature of the high-speed output shaft of the gearbox timely and effectively.Support vector machine has more advantages in the temperature prediction of wind turbines.Least squares support vector machine is suitable for online prediction d

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Candidates for Repurposing as Anti-Virulence Agents Based on the Structural Profile Analysis of Microbial Collagenase Inhibitors

The pharmacological inhibition of the bacterial collagenases (BC) enzymes is considered a promising strategy to block the virulence of the bacteria without targeting the selection mechanism leading to drug resistance.The chemical structures of the Clostridium perfringens collagenase A (ColA) inhibitors were analyzed using Bemis-Murcko skeletons, Mu

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