Wind Turbine Gearbox Fault Diagnosis Based on Improved HHT

Abstract

The most significant feature of the decision tree algorithm is to transform the complex decision-making process into a number of simple decision-making processes and then accumulate it. It's a tree structure similar to the flow chart. The decision tree can be applied to the fault diagnosis of wind turbine gearbox to data mining for gearbox and then find rules and reflect in the form of rules. Experiments show that the use of decision tree method to extract rules can be faster and more accurate.