Distributed Fault Diagnosis for Data Reliability in Operational Status Monitoring of Large Mining Electric Shovels

Key Points

• The research aims to enhance the reliability of data used for monitoring operational statuses of large mining electric shovels through fault diagnosis.
• Developed a distributed fault diagnosis system
• Applied it to monitor operational status in mining equipment
• Incorporated data reliability checks for performance evaluation
• Improved data reliability in monitoring systems
• Identified faults more efficiently in operational statuses
• Enhanced safety and operational performance of electric shovels

Abstract