基于机械自动化设备管理维修中故障诊断和改造

Key Points

• This research aims to explore fault diagnosis methods and upgrading strategies in mechanical automation equipment management and maintenance.
• Analyzed common faults in mechanical, electrical, hydraulic, pneumatic, and software systems.
• Introduced various fault diagnosis techniques including sensor technology and AI.
• Proposed strategies for equipment upgrades based on diagnostic results.
• Improved operational stability and reliability of mechanical automation equipment.
• Reduced failure rates and maintenance costs through comprehensive upgrade strategies.