Abstract

Condition monitoring and early fault diagnosis for wind turbines have become essential industry practice as they help improve wind farm reliability, overall performance and productivity. If not detected and rectified at early stages, some faults can be catastrophic with significant loss or revenue along with interruption to the business relying mainly on wind energy. The failure of Wind turbine results in system downtime and repairing or replacement expenses that significantly reduce the annual income. Such failures call for more systematized operation and maintenance schemes to ensure the reliability of wind energy conversion systems. Condition monitoring and fault diagnosis systems of wind turbine play an important role in reducing maintenance and operational costs and increase system reliability. This paper is aimed at providing the reader with the overall feature for wind turbine condition monitoring and fault diagnosis which includes various potential fault types and locations along with the signals to be analyzed with different signal processing methods.

Highlights

  • Wind energy has become a superior renewable energy resource that plays a vital role in the power sector

  • Due to the global trend in generating electrical energy through renewable energy resources, especially from solar and wind, the reliability of such systems has become a priority for the transmission and distribution networks’ stakeholders

  • Reliable condition monitoring and fault diagnosis techniques have to be adopted to detect any incipient faults in these systems to avoid potential consequences

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Summary

Introduction

Wind energy has become a superior renewable energy resource that plays a vital role in the power sector. This represents 5.3% of Australia’s total electricity. According to some statistical studies [3], the maximum wind turbines failure rate takes place within the gearbox followed by faults within the power electronic converters. Some of these faults can be catastrophic with significant loss or revenue and they can interrupt businesses that rely mainly on wind energy.

The Basics of Wind Turbine System
Faults of Wind
Gearbox
Main Shaft
Hydraulic System
Mechanical Brake
Electric Machine
Power Electronic Converter
Sensors
Acoustic Emission
Strain
Torque and Bending Moment
Temperature
Lubrication Oil Parameters
Non-Destructive Testing
Eelectrical Signal-Based Methods
Hilbert Transform
Envelope Analysis
Statistical Analysis
Synchronous Sampling
Wavelet Transform
Model Based Methods
Bayesian Method
5.10. Artificial Intelligence Applications
Findings
Conclusions

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