An intelligent fault diagnosis approach for construction machinery hydraulic systems based on knowledge graph

Key Points

• Fault diagnosis improves efficiency in hydraulic systems, allowing for faster maintenance responses.
• Key evidence shows a 30% reduction in downtime when utilizing a knowledge graph approach for faults.
• Analysis uses a knowledge graph to map failures and treatments effectively in hydraulic systems.
• This method highlights the need for advanced intelligent systems in construction machinery for better reliability.