Wind turbine generator defect analysis

What is a wind turbine generator failure analysis & fault diagnosis?

In this article, a comprehensive and up-to-date review of wind turbine generators failure analysis and fault diagnosis are presented. First, the electrical and mechanical failures of various WTG components, including stator, rotor, air gap, and bearings, are analyzed. Then, the fault characteristics and root causes of WTG are studied.

How to detect a fault in a wind turbine?

The fault diagnosis of a wind turbine was performed by comparing the wind turbine behavior predicted by the trained model with the reference space and analyzing the distribution and correlation of the wind turbine SCADA data. However, the fault model was combined with the acoustic signal, which reduced the success rate of fault detection.

Why do wind turbines need fault detection algorithms?

In the past twenty years, wind turbine sizes have evolved from 20-kW to 5-megawatts, while even more powerful wind turbines are being developed. Therefore, in order to prevent major component failures, fault detection algorithms enable early alarms of mechanical and electrical faults. Side effects on other components can be significantly reduced.

Why is a fault analysis important for wind turbines?

The purpose of a fault analysis is to determine the cause of the fault; to clearly understand the nature, location, and reason for the fault; and to take targeted maintenance actions to ensure normal operation of the wind turbine while reducing cost and maintaining efficiency . Therefore, a timely fault analysis is important for wind turbines.

Why is time-frequency analysis important for wind turbine fault diagnosis?

Since the wind turbine is a complex system with variable operating conditions, the actual fault signal often has nonlinear and non-stationary characteristics, so time-frequency analysis is more effective for fault diagnosis of generators and other components.

How is fault diagnosis of wind turbine bearings based on artificial intelligence?

Fault Diagnosis of Wind Turbine Bearings Based on Artificial Intelligence Artificial-intelligence-based fault diagnosis of wind turbine bearings is divided into two main categories, symbolic reasoning (knowledge-based) and numerical computation (neural-network-based) fault diagnosis .