Data mining and statistical analysis of construction equipment failure

Keyphrases

• Statistical Analysis 100%
• Construction Equipment 100%
• Mean Time to Failure 100%
• Equipment Failure 100%
• Data Mining Analysis 100%
• Failure Data 66%
• Data Mining Techniques 66%
• Failure Event 66%
• Power-law Model 66%
• Equipment Failure Rate 66%
• Environmental Conditions 33%
• United States 33%
• Test Validity 33%
• Maintenance Program 33%
• Comparative Analysis 33%
• Mathematical Relationship 33%
• Logical Relations 33%
• Equipment Condition 33%
• Statistical Power 33%
• Decision Tree Induction 33%
• Periodic Inspection 33%
• Take-all 33%
• Equipment Repair 33%
• Equipment Fleet 33%
• Large Contractors 33%
• Large Equipment 33%
• Heavy Construction Equipment 33%
• Data Mining Model 33%
• Statistical Relationship 33%
• Failure Model 33%
• Scheduled Maintenance 33%
• Unexpected Failures 33%
• Failure Type 33%
• Major Equipment 33%
• Equipment Utilization 33%
• Failure History 33%
• Unit Failure 33%
• Mining Project 33%
• Surface Mining 33%

Engineering

• Construction Equipment 100%
• Failure Event 50%
• Failure Data 50%
• Equipment Failure Rate 50%
• Power Law Model 50%
• Mean Time to Failure 50%
• Comparative Analysis 25%
• Open Pit Mining 25%
• Critical Failure 25%
• Failure Condition 25%
• Failure Model 25%
• Maintenance Program 25%
• Decision Tree Induction Algorithm 25%
• Mean Time between Failure 25%
• United States 25%

Agricultural and Biological Sciences

• Equipment 100%