State Monitoring and Fault Diagnosis of Wind Turbines

Abstract

In this chapter, after the comprehensive exposition of the basic knowledge of state monitoring and fault diagnosis of wind turbine, a new targeted method for fault diagnosis is proposed. Starting from the non-stationary characteristics of fault signal of transmission system of wind turbine, a new improved method of combining wavelet packet and envelope spectrum for fault diagnosis is put forward. Finally, the author introduces the design idea and method of the overall structure and function of remote real-time state monitoring and fault diagnosis system of large-scale wind turbine in detail. Based on the field research of the author and his team into 3 MW wind turbine of a group company, the method is researched and developed for the state monitoring and fault diagnosis system of large-scale wind turbine, according to fault types and features of key equipment components of drive system of wind turbine as well as the actual needs of users. The system has been proved to have excellent performance in the field test. During introducing the design idea and method of the overall structure and function of remote real-time state monitoring and fault diagnosis system of large-scale wind turbine, the author focuses on the algorithm design of fault diagnosis software of the data acquisition instrument.