Dynamic modeling and fault feature analysis of ball-cage scraping in flywheel bearings

Key Points

• Ball-cage scraping in flywheel bearings leads to significant performance degradation, highlighting the need for effective fault detection methods.
• The study identifies critical fault features that can be dynamically modeled to predict bearing failure more accurately.
• Employing dynamic modeling techniques enables a comprehensive understanding of mechanical systems under various operational stresses.
• These findings may enhance maintenance strategies, leading to increased reliability and longevity of flywheel bearing systems.