A novel fault diagnosis method for wind turbine gearbox based on data-driven incremental broad network

Key Points

• The method enhances fault diagnosis accuracy in gearbox systems, leading to better efficiency.
• Key evidence shows a significant improvement of up to 30% in diagnosis speed compared to traditional techniques.
• Assessment using a data-driven incremental broad network enables real-time monitoring and analysis.
• This approach may improve maintenance strategies, potentially reducing downtime and repair costs.