Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

Matemáticas

• Rotating Machinery 100%
• Fault Diagnosis 92%
• Random Forest 87%
• Vibration Signal 76%
• Ranking 60%
• Electromyography 36%
• Gearbox 34%
• Information Gain 29%
• K-nearest Neighbor 26%
• Productivity 25%
• Torque 24%
• Damage 23%
• Fault 23%
• Maintenance 23%
• Framework 22%
• Chi-square 22%
• Classifier 22%
• Time Domain 20%
• Industry 20%
• Human 17%
• Costs 14%
• Motion 14%

Ingeniería y ciencia de los materiales

• Rotating machinery 72%
• Random forests 63%
• Failure analysis 51%
• Electromyography 24%
• Productivity 15%
• Torque 14%
• Classifiers 14%
• Industry 8%
• Costs 7%