Geometric algebra symplectic singular decomposition: A novel multivariate signal decomposition method for gear fault diagnosis

Key Points

• Signal decomposition using geometric algebra enhances diagnosis accuracy for gear faults, leading to better maintenance strategies.
• Key evidence shows improved performance metrics in fault detection with this novel method compared to traditional techniques.
• This analysis applies symplectic singular decomposition to multivariate signals, offering a new approach in identifying gear faults efficiently.
• These findings support the potential for significant advancements in fault diagnosis methodologies in industrial applications.